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Frank Nielsen
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- affiliation: Sony Computer Science Laboratories, Tokyo, Japan
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2020 – today
- 2024
- [j65]Frank Nielsen:
Divergences Induced by the Cumulant and Partition Functions of Exponential Families and Their Deformations Induced by Comparative Convexity. Entropy 26(3): 193 (2024) - [j64]Frank Nielsen, Kazuki Okamura:
On the f-divergences between densities of a multivariate location or scale family. Stat. Comput. 34(1): 60 (2024) - [c139]Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
Optimal Transport with Tempered Exponential Measures. AAAI 2024: 10838-10846 - [c138]Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski:
A Rate-Distortion View of Uncertainty Quantification. ICML 2024 - [i114]Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth:
Tempered Calculus for ML: Application to Hyperbolic Model Embedding. CoRR abs/2402.04163 (2024) - [i113]Frank Nielsen:
Approximation and bounding techniques for the Fisher-Rao distances. CoRR abs/2403.10089 (2024) - [i112]Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski:
A Rate-Distortion View of Uncertainty Quantification. CoRR abs/2406.10775 (2024) - [i111]Frank Nielsen, Alexander Soen:
pyBregMan: A Python library for Bregman Manifolds. CoRR abs/2408.04175 (2024) - [i110]Frank Nielsen:
Symplectic Bregman divergences. CoRR abs/2408.12961 (2024) - [i109]Alexandre Luis Magalhaes Levada, Frank Nielsen, Michel Ferreira Cardia Haddad:
Adaptive k-nearest neighbor classifier based on the local estimation of the shape operator. CoRR abs/2409.05084 (2024) - [i108]Frank Nielsen:
Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers. CoRR abs/2410.14326 (2024) - [i107]Frank Nielsen:
What is an inductive mean? CoRR abs/2410.15717 (2024) - 2023
- [j63]Frank Nielsen:
A Simple Approximation Method for the Fisher-Rao Distance between Multivariate Normal Distributions. Entropy 25(4): 654 (2023) - [j62]Frank Nielsen, Kazuki Okamura:
On f-Divergences Between Cauchy Distributions. IEEE Trans. Inf. Theory 69(5): 3150-3171 (2023) - [c137]Frank Nielsen:
Quasi-arithmetic Centers, Quasi-arithmetic Mixtures, and the Jensen-Shannon $\nabla $-Divergences. GSI (1) 2023: 147-156 - [c136]Frank Nielsen, Kazuki Okamura:
On the f-Divergences Between Hyperboloid and Poincaré Distributions. GSI (1) 2023: 176-185 - [c135]Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning. ICML 2023: 21026-21050 - [c134]Nicolas Dupin, Frank Nielsen:
Partial K-Means with M Outliers: Mathematical Programs and Complexity Results. OLA 2023: 287-303 - [c133]Frank Nielsen, Ke Sun:
Non-linear Embeddings in Hilbert Simplex Geometry. TAG-ML 2023: 254-266 - [c132]Frank Nielsen:
Fisher-Rao and pullback Hilbert cone distances on the multivariate Gaussian manifold with applications to simplification and quantization of mixtures. TAG-ML 2023: 488-504 - [e9]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - 6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14071, Springer 2023, ISBN 978-3-031-38270-3 [contents] - [e8]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - 6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14072, Springer 2023, ISBN 978-3-031-38298-7 [contents] - [i106]Frank Nielsen:
Beyond scalar quasi-arithmetic means: Quasi-arithmetic averages and quasi-arithmetic mixtures in information geometry. CoRR abs/2301.10980 (2023) - [i105]Nicolas Dupin, Frank Nielsen:
Partial k-means to avoid outliers, mathematical programming formulations, complexity results. CoRR abs/2302.05644 (2023) - [i104]Frank Nielsen:
A numerical approximation method for the Fisher-Rao distance between multivariate normal distributions. CoRR abs/2302.08175 (2023) - [i103]Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Simplifying Momentum-based Riemannian Submanifold Optimization. CoRR abs/2302.09738 (2023) - [i102]Andrea Di Pasquale, Daniel Krefl, Stefano Carrazza, Frank Nielsen:
Product Jacobi-Theta Boltzmann machines with score matching. CoRR abs/2303.05910 (2023) - [i101]Frank Nielsen:
Fisher-Rao distance and pullback SPD cone distances between multivariate normal distributions. CoRR abs/2307.10644 (2023) - [i100]Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
Optimal Transport with Tempered Exponential Measures. CoRR abs/2309.04015 (2023) - [i99]Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs. CoRR abs/2311.13459 (2023) - [i98]Frank Nielsen:
Divergences induced by dual subtractive and divisive normalizations of exponential families and their convex deformations. CoRR abs/2312.12849 (2023) - 2022
- [j61]Frank Nielsen:
Generalizing the Alpha-Divergences and the Oriented Kullback-Leibler Divergences with Quasi-Arithmetic Means. Algorithms 15(11): 435 (2022) - [j60]Frank Nielsen:
Statistical Divergences between Densities of Truncated Exponential Families with Nested Supports: Duo Bregman and Duo Jensen Divergences. Entropy 24(3): 421 (2022) - [j59]Frank Nielsen:
Revisiting Chernoff Information with Likelihood Ratio Exponential Families. Entropy 24(10): 1400 (2022) - [i97]Frank Nielsen:
The duo Fenchel-Young divergence. CoRR abs/2202.10726 (2022) - [i96]Frank Nielsen, Ke Sun:
Non-linear Embeddings in Hilbert Simplex Geometry. CoRR abs/2203.11434 (2022) - [i95]Frank Nielsen, Kazuki Okamura:
A note on the f-divergences between multivariate location-scale families with either prescribed scale matrices or location parameters. CoRR abs/2204.10952 (2022) - [i94]Frank Nielsen, Kazuki Okamura:
Information geometry of the Tojo-Yoshino's exponential family on the Poincaré upper plane. CoRR abs/2205.13984 (2022) - [i93]Pascal Mattia Esser, Frank Nielsen:
On the Influence of Enforcing Model Identifiability on Learning dynamics of Gaussian Mixture Models. CoRR abs/2206.08598 (2022) - [i92]Frank Nielsen:
Revisiting Chernoff Information with Likelihood Ratio Exponential Families. CoRR abs/2207.03745 (2022) - [i91]Rob Brekelmans, Frank Nielsen:
Rho-Tau Bregman Information and the Geometry of Annealing Paths. CoRR abs/2209.07481 (2022) - 2021
- [j58]Frank Nielsen:
On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius. Entropy 23(4): 464 (2021) - [j57]Frank Nielsen:
Fast Approximations of the Jeffreys Divergence between Univariate Gaussian Mixtures via Mixture Conversions to Exponential-Polynomial Distributions. Entropy 23(11): 1417 (2021) - [j56]Frank Nielsen, Ke Sun:
q-Neurons: Neuron Activations Based on Stochastic Jackson's Derivative Operators. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2782-2789 (2021) - [c131]Gautier Marti, Victor Goubet, Frank Nielsen:
cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope. GSI 2021: 613-620 - [c130]Frank Nielsen, Richard Nock:
Computing Statistical Divergences with Sigma Points. GSI 2021: 677-684 - [c129]Yann Cabanes, Frank Nielsen:
Classification in the Siegel Space for Vectorial Autoregressive Data. GSI 2021: 693-700 - [c128]Frank Nielsen, Kazuki Okamura:
On f-divergences Between Cauchy Distributions. GSI 2021: 799-807 - [c127]Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Tractable structured natural-gradient descent using local parameterizations. ICML 2021: 6680-6691 - [c126]Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood:
q-Paths: Generalizing the geometric annealing path using power means. UAI 2021: 1938-1947 - [e7]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - 5th International Conference, GSI 2021, Paris, France, July 21-23, 2021, Proceedings. Lecture Notes in Computer Science 12829, Springer 2021, ISBN 978-3-030-80208-0 [contents] - [e6]Frédéric Barbaresco, Frank Nielsen:
Geometric Structures of Statistical Physics, Information Geometry, and Learning - SPIGL'20, Les Houches, France, July 27-31. Springer 2021, ISBN 978-3-030-77956-6 [contents] - [i90]Frank Nielsen:
On information projections between multivariate elliptical and location-scale families. CoRR abs/2101.03839 (2021) - [i89]Frank Nielsen, Kazuki Okamura:
On $f$-divergences between Cauchy distributions. CoRR abs/2101.12459 (2021) - [i88]Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Tractable structured natural gradient descent using local parameterizations. CoRR abs/2102.07405 (2021) - [i87]Frank Nielsen:
On a Variational Definition for the Jensen-Shannon Symmetrization of Distances based on the Information Radius. CoRR abs/2102.09728 (2021) - [i86]Frank Nielsen:
A note on some information-theoretic divergences between Zeta distributions. CoRR abs/2104.10548 (2021) - [i85]Frank Nielsen:
The dually flat information geometry of the mixture family of two prescribed Cauchy components. CoRR abs/2104.13801 (2021) - [i84]Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood:
q-Paths: Generalizing the Geometric Annealing Path using Power Means. CoRR abs/2107.00745 (2021) - [i83]Frank Nielsen:
Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities. CoRR abs/2107.05901 (2021) - [i82]Gautier Marti, Victor Goubet, Frank Nielsen:
cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope. CoRR abs/2107.10606 (2021) - [i81]Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Structured second-order methods via natural gradient descent. CoRR abs/2107.10884 (2021) - [i80]Frank Nielsen:
On the Kullback-Leibler divergence between discrete normal distributions. CoRR abs/2109.14920 (2021) - [i79]Pascal Mattia Esser, Frank Nielsen:
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds. CoRR abs/2112.03734 (2021) - 2020
- [j55]Frank Nielsen:
On a Generalization of the Jensen-Shannon Divergence and the Jensen-Shannon Centroid. Entropy 22(2): 221 (2020) - [j54]Frank Nielsen:
On Voronoi Diagrams on the Information-Geometric Cauchy Manifolds. Entropy 22(7): 713 (2020) - [j53]Frank Nielsen:
The Siegel-Klein Disk: Hilbert Geometry of the Siegel Disk Domain. Entropy 22(9): 1019 (2020) - [j52]Frank Nielsen:
An Elementary Introduction to Information Geometry. Entropy 22(10): 1100 (2020) - [j51]Gaëtan Hadjeres, Frank Nielsen:
Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation. Neural Comput. Appl. 32(4): 995-1005 (2020) - [c125]Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi:
Clustering a 2d Pareto Front: P-center Problems Are Solvable in Polynomial Time. OLA 2020: 179-191 - [c124]Frank Nielsen, Gaëtan Hadjeres:
Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences. SPIGL 2020: 196-218 - [i78]Frank Nielsen:
A generalization of the α-divergences based on comparable and distinct weighted means. CoRR abs/2001.09660 (2020) - [i77]Frank Nielsen, Richard Nock:
Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family. CoRR abs/2003.02469 (2020) - [i76]Frank Nielsen:
A note on Onicescu's informational energy and correlation coefficient in exponential families. CoRR abs/2003.13199 (2020) - [i75]Frank Nielsen:
Hilbert geometry of the Siegel disk: The Siegel-Klein disk model. CoRR abs/2004.08160 (2020) - [i74]Frank Nielsen:
On Voronoi diagrams and dual Delaunay complexes on the information-geometric Cauchy manifolds. CoRR abs/2006.07020 (2020) - [i73]Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen:
Annealed Importance Sampling with q-Paths. CoRR abs/2012.07823 (2020) - [i72]Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg:
Likelihood Ratio Exponential Families. CoRR abs/2012.15480 (2020)
2010 – 2019
- 2019
- [j50]Frank Nielsen:
On the Jensen-Shannon Symmetrization of Distances Relying on Abstract Means. Entropy 21(5): 485 (2019) - [c123]Frank Nielsen, Richard Nock:
The Bregman Chord Divergence. GSI 2019: 299-308 - [c122]Erika Gomes-Gonçalves, Henryk Gzyl, Frank Nielsen:
Geometry and Fixed-Rate Quantization in Riemannian Metric Spaces Induced by Separable Bregman Divergences. GSI 2019: 351-358 - [c121]Frank Nielsen:
The Statistical Minkowski Distances: Closed-Form Formula for Gaussian Mixture Models. GSI 2019: 359-367 - [c120]Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen:
Sinkhorn AutoEncoders. UAI 2019: 733-743 - [c119]Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi:
K-Medoids Clustering Is Solvable in Polynomial Time for a 2d Pareto Front. WCGO 2019: 790-799 - [e5]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - 4th International Conference, GSI 2019, Toulouse, France, August 27-29, 2019, Proceedings. Lecture Notes in Computer Science 11712, Springer 2019, ISBN 978-3-030-26979-1 [contents] - [i71]Frank Nielsen:
The statistical Minkowski distances: Closed-form formula for Gaussian Mixture Models. CoRR abs/1901.03732 (2019) - [i70]Frank Nielsen, Gaëtan Hadjeres:
On power chi expansions of f-divergences. CoRR abs/1903.05818 (2019) - [i69]Frank Nielsen:
On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means. CoRR abs/1904.04017 (2019) - [i68]Frank Nielsen:
On the Kullback-Leibler divergence between location-scale densities. CoRR abs/1904.10428 (2019) - [i67]Frédéric Chyzak, Frank Nielsen:
A closed-form formula for the Kullback-Leibler divergence between Cauchy distributions. CoRR abs/1905.10965 (2019) - [i66]Ke Sun, Frank Nielsen:
Lightlike Neuromanifolds, Occam's Razor and Deep Learning. CoRR abs/1905.11027 (2019) - [i65]Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi:
Planar p-center problems are solvable in polynomial time when clustering a Pareto Front. CoRR abs/1908.09648 (2019) - [i64]Frank Nielsen, Gaëtan Hadjeres:
A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof. CoRR abs/1909.08857 (2019) - [i63]Frank Nielsen:
On geodesic triangles with right angles in a dually flat space. CoRR abs/1910.03935 (2019) - [i62]Ke Sun, Frank Nielsen:
Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions. CoRR abs/1911.12463 (2019) - [i61]Frank Nielsen:
On a generalization of the Jensen-Shannon divergence. CoRR abs/1912.00610 (2019) - 2018
- [j49]Gia-Thuy Pham, Rémy Boyer, Frank Nielsen:
Computational Information Geometry for Binary Classification of High-Dimensional Random Tensors. Entropy 20(3): 203 (2018) - [c118]Maria S. Greco, Rémy Boyer, Frank Nielsen:
On the Angular Resolution Limit Uncertainty. EUSIPCO 2018: 623-626 - [c117]Frank Nielsen:
The Chord Gap Divergence and a Generalization of the Bhattacharyya Distance. ICASSP 2018: 2276-2280 - [c116]Frank Nielsen, Richard Nock:
On the Geometry of Mixtures of Prescribed Distributions. ICASSP 2018: 2861-2865 - [c115]Frank Nielsen, Ke Sun:
Guaranteed Deterministic Bounds on the total variation Distance between univariate mixtures. MLSP 2018: 1-6 - [i60]Frank Nielsen, Gaëtan Hadjeres:
Monte Carlo Information Geometry: The dually flat case. CoRR abs/1803.07225 (2018) - [i59]Frank Nielsen, Ke Sun:
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators. CoRR abs/1806.00149 (2018) - [i58]Frank Nielsen, Ke Sun:
Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures. CoRR abs/1806.11311 (2018) - [i57]Frank Nielsen:
An elementary introduction to information geometry. CoRR abs/1808.08271 (2018) - [i56]Giorgio Patrini, Marcello Carioni, Patrick Forré, Samarth Bhargav, Max Welling, Rianne van den Berg, Tim Genewein, Frank Nielsen:
Sinkhorn AutoEncoders. CoRR abs/1810.01118 (2018) - [i55]Frank Nielsen, Richard Nock:
The Bregman chord divergence. CoRR abs/1810.09113 (2018) - [i54]Erika Gomes-Gonçalves, Henryk Gzyl, Frank Nielsen:
Geometry and clustering with metrics derived from separable Bregman divergences. CoRR abs/1810.10770 (2018) - [i53]Frank Nielsen, Ke Sun:
On The Chain Rule Optimal Transport Distance. CoRR abs/1812.08113 (2018) - 2017
- [j48]Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet:
On Hölder Projective Divergences. Entropy 19(3): 122 (2017) - [j47]Frank Nielsen, Richard Nock:
MaxEnt Upper Bounds for the Differential Entropy of Univariate Continuous Distributions. IEEE Signal Process. Lett. 24(4): 402-406 (2017) - [j46]Frank Nielsen, Richard Nock:
Generalizing Skew Jensen Divergences and Bregman Divergences With Comparative Convexity. IEEE Signal Process. Lett. 24(8): 1123-1127 (2017) - [c114]Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen:
Tsallis Regularized Optimal Transport and Ecological Inference. AAAI 2017: 2387-2393 - [c113]Frank Nielsen, Laëtitia Shao:
On Balls in a Hilbert Polygonal Geometry (Multimedia Contribution). SoCG 2017: 67:1-67:4 - [c112]Frank Nielsen, Richard Nock:
Bregman Divergences from Comparative Convexity. GSI 2017: 639-647 - [c111]Rémy Boyer, Frank Nielsen:
On the Error Exponent of a Random Tensor with Orthonormal Factor Matrices. GSI 2017: 657-664 - [c110]Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet:
k-Means Clustering with Hölder Divergences. GSI 2017: 856-863 - [c109]Rémy Boyer, Frank Nielsen:
Information geometry metric for random signal detection in large random sensing systems. ICASSP 2017: 4471-4475 - [c108]Frank Nielsen, Ke Sun:
Combinatorial bounds on the α-divergence of univariate mixture models. ICASSP 2017: 4476-4480 - [c107]Gaëtan Hadjeres, François Pachet, Frank Nielsen:
DeepBach: a Steerable Model for Bach Chorales Generation. ICML 2017: 1362-1371 - [c106]Ke Sun, Frank Nielsen:
Relative Fisher Information and Natural Gradient for Learning Large Modular Models. ICML 2017: 3289-3298 - [c105]Gaëtan Hadjeres, Frank Nielsen, François Pachet:
GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures. SSCI 2017: 1-7 - [e4]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings. Lecture Notes in Computer Science 10589, Springer 2017, ISBN 978-3-319-68444-4 [contents] - [i52]Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet:
On Hölder projective divergences. CoRR abs/1701.03916 (2017) - [i51]Frank Nielsen, Richard Nock:
Generalizing Jensen and Bregman divergences with comparative convexity and the statistical Bhattacharyya distances with comparable means. CoRR abs/1702.04877 (2017) - [i50]Frank Nielsen, Ke Sun:
Clustering in Hilbert simplex geometry. CoRR abs/1704.00454 (2017) - [i49]Richard Nock, Frank Nielsen:
Distribution-free Evolvability of Vector Spaces: All it takes is a Generating Set. CoRR abs/1704.02708 (2017) - [i48]Gaëtan Hadjeres, Frank Nielsen, François Pachet:
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures. CoRR abs/1707.04588 (2017) - [i47]Frank Nielsen, Richard Nock:
On w-mixtures: Finite convex combinations of prescribed component distributions. CoRR abs/1708.00568 (2017) - [i46]Gaëtan Hadjeres, Frank Nielsen:
Deep rank-based transposition-invariant distances on musical sequences. CoRR abs/1709.00740 (2017) - [i45]Gaëtan Hadjeres, Frank Nielsen:
Interactive Music Generation with Positional Constraints using Anticipation-RNNs. CoRR abs/1709.06404 (2017) - [i44]Frank Nielsen:
A generalization of the Jensen divergence: The chord gap divergence. CoRR abs/1709.10498 (2017) - 2016
- [b3]Frank Nielsen:
Introduction to HPC with MPI for Data Science. Undergraduate Topics in Computer Science, Springer 2016, ISBN 978-3-319-21902-8, pp. 3-259 - [j45]Frank Nielsen, Ke Sun:
Guaranteed Bounds on Information-Theoretic Measures of Univariate Mixtures Using Piecewise Log-Sum-Exp Inequalities. Entropy 18(12): 442 (2016) - [j44]Frank Nielsen, Ke Sun:
Guaranteed Bounds on the Kullback-Leibler Divergence of Univariate Mixtures. IEEE Signal Process. Lett. 23(11): 1543-1546 (2016) - [j43]Richard Nock, Frank Nielsen, Shun-ichi Amari:
On Conformal Divergences and Their Population Minimizers. IEEE Trans. Inf. Theory 62(1): 527-538 (2016) - [c104]Gautier Marti, Frank Nielsen, Philippe Donnat:
Optimal copula transport for clustering multivariate time series. ICASSP 2016: 2379-2383 - [c103]Olivier Schwander, Stéphane Marchand-Maillet, Frank Nielsen:
Comix: Joint estimation and lightspeed comparison of mixture models. ICASSP 2016: 2449-2453 - [c102]Frank Nielsen, Boris Muzellec, Richard Nock:
Classification with mixtures of curved mahalanobis metrics. ICIP 2016: 241-245 - [c101]Junlin Yao, Frank Nielsen:
SSSC-AM: A unified framework for video co-segmentation by structured sparse subspace clustering with appearance and motion features. ICIP 2016: 3957-3961 - [c100]Richard Nock, Raphaël Canyasse, Roksana Boreli, Frank Nielsen:
k-variates++: more pluses in the k-means++. ICML 2016: 145-154 - [c99]Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni:
Loss factorization, weakly supervised learning and label noise robustness. ICML 2016: 708-717 - [c98]Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat:
Clustering Financial Time Series: How Long Is Enough?. IJCAI 2016: 2583-2589 - [c97]Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat:
Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering. NIPS Time Series Workshop 2016: 59-69 - [c96]Stéphane Marchand-Maillet, Edgar Roman-Rangel, Hisham Mohamed, Frank Nielsen:
Quantifying the Invariance and Robustness of Permutation-Based Indexing Schemes. SISAP 2016: 79-92 - [c95]Frank Nielsen, Richard Nock:
Patch Matching with Polynomial Exponential Families and Projective Divergences. SISAP 2016: 109-116 - [c94]Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat:
Optimal transport vs. Fisher-Rao distance between copulas for clustering multivariate time series. SSP 2016: 1-5 - [i43]Richard Nock, Raphaël Canyasse, Roksana Boreli, Frank Nielsen:
k-variates++: more pluses in the k-means++. CoRR abs/1602.01198 (2016) - [i42]Frank Nielsen:
Image and Information. CoRR abs/1602.01228 (2016) - [i41]Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni:
Loss factorization, weakly supervised learning and label noise robustness. CoRR abs/1602.02450 (2016) - [i40]Junlin Yao, Frank Nielsen:
SSSC-AM: A Unified Framework for Video Co-Segmentation by Structured Sparse Subspace Clustering with Appearance and Motion Features. CoRR abs/1603.04139 (2016) - [i39]Frank Nielsen, Richard Nock:
Fast $(1+ε)$-approximation of the Löwner extremal matrices of high-dimensional symmetric matrices. CoRR abs/1604.01592 (2016) - [i38]Frank Nielsen, Ke Sun:
Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities. CoRR abs/1606.05850 (2016) - [i37]Ke Sun, Frank Nielsen:
Relative Natural Gradient for Learning Large Complex Models. CoRR abs/1606.06069 (2016) - [i36]Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen:
Tsallis Regularized Optimal Transport and Ecological Inference. CoRR abs/1609.04495 (2016) - [i35]Frank Nielsen, Boris Muzellec, Richard Nock:
Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances. CoRR abs/1609.07082 (2016) - [i34]Frank Nielsen, Richard Nock:
A series of maximum entropy upper bounds of the differential entropy. CoRR abs/1612.02954 (2016) - 2015
- [j42]Richard Nock, Wafa Bel Haj Ali, Roberto D'Ambrosio, Frank Nielsen, Michel Barlaud:
Gentle Nearest Neighbors Boosting over Proper Scoring Rules. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 80-93 (2015) - [c93]Christophe Saint-Jean, Frank Nielsen:
Online k-MLE for Mixture Modeling with Exponential Families. GSI 2015: 340-348 - [c92]Olivier Schwander, Frank Nielsen:
Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models. GSI 2015: 387-395 - [c91]Frank Nielsen, Gaëtan Hadjeres:
Approximating Covering and Minimum Enclosing Balls in Hyperbolic Geometry. GSI 2015: 586-594 - [c90]Gautier Marti, Frank Nielsen, Philippe Very, Philippe Donnat:
Clustering Random Walk Time Series. GSI 2015: 675-684 - [c89]Frank Nielsen, Richard Nock:
Total Jensen divergences: Definition, properties and clustering. ICASSP 2015: 2016-2020 - [c88]Gautier Marti, Philippe Very, Philippe Donnat, Frank Nielsen:
A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series. ICMLA 2015: 32-37 - [e3]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - Second International Conference, GSI 2015, Palaiseau, France, October 28-30, 2015, Proceedings. Lecture Notes in Computer Science 9389, Springer 2015, ISBN 978-3-319-25039-7 [contents] - [i33]Gautier Marti, Frank Nielsen, Philippe Very, Philippe Donnat:
Comment partitionner automatiquement des marches aléatoires ? Avec application à la finance quantitative. CoRR abs/1506.09163 (2015) - [i32]Gautier Marti, Philippe Donnat, Frank Nielsen, Philippe Very:
HCMapper: An interactive visualization tool to compare partition-based flat clustering extracted from pairs of dendrograms. CoRR abs/1507.08137 (2015) - [i31]Gautier Marti, Philippe Very, Philippe Donnat, Frank Nielsen:
A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series. CoRR abs/1509.05475 (2015) - [i30]Gautier Marti, Frank Nielsen, Philippe Donnat:
Optimal Copula Transport for Clustering Multivariate Time Series. CoRR abs/1509.08144 (2015) - 2014
- [j41]Frank Nielsen, Richard Nock, Shun-ichi Amari:
On Clustering Histograms with k-Means by Using Mixed α-Divergences. Entropy 16(6): 3273-3301 (2014) - [j40]Frank Nielsen:
Generalized Bhattacharyya and Chernoff upper bounds on Bayes error using quasi-arithmetic means. Pattern Recognit. Lett. 42: 25-34 (2014) - [j39]Frank Nielsen, Richard Nock:
On the Chi Square and Higher-Order Chi Distances for Approximating $f$ -Divergences. IEEE Signal Process. Lett. 21(1): 10-13 (2014) - [j38]Frank Nielsen, Richard Nock:
Optimal Interval Clustering: Application to Bregman Clustering and Statistical Mixture Learning. IEEE Signal Process. Lett. 21(10): 1289-1292 (2014) - [c87]Frank Nielsen, Richard Nock:
Visualizing hyperbolic Voronoi diagrams. SoCG 2014: 90 - [i29]Frank Nielsen:
Generalized Bhattacharyya and Chernoff upper bounds on Bayes error using quasi-arithmetic means. CoRR abs/1401.4788 (2014) - [i28]Frank Nielsen, Richard Nock:
A note on the optimal scalar Bregman k-means clustering with an application to learning best statistical mixtures. CoRR abs/1403.2485 (2014) - [i27]Frank Nielsen, Richard Nock:
Further heuristics for $k$-means: The merge-and-split heuristic and the $(k, l)$-means. CoRR abs/1406.6314 (2014) - [i26]Frank Nielsen, Richard Nock:
Further results on the hyperbolic Voronoi diagrams. CoRR abs/1410.1036 (2014) - 2013
- [j37]Marc Arnaudon, Frank Nielsen:
On approximating the Riemannian 1-center. Comput. Geom. 46(1): 93-104 (2013) - [j36]Frank Nielsen:
An Information-Geometric Characterization of Chernoff Information. IEEE Signal Process. Lett. 20(3): 269-272 (2013) - [j35]Frank Nielsen:
Jeffreys Centroids: A Closed-Form Expression for Positive Histograms and a Guaranteed Tight Approximation for Frequency Histograms. IEEE Signal Process. Lett. 20(7): 657-660 (2013) - [c86]Frank Nielsen, Richard Nock:
Consensus Region Merging for Image Segmentation. ACPR 2013: 325-329 - [c85]Frank Nielsen:
Hypothesis Testing, Information Divergence and Computational Geometry. GSI 2013: 241-248 - [c84]Christophe Saint-Jean, Frank Nielsen:
A New Implementation of k-MLE for Mixture Modeling of Wishart Distributions. GSI 2013: 249-256 - [c83]Richard Nock, Frank Nielsen, Eric Briys:
Non-linear book manifolds: learning from associations the dynamic geometry of digital libraries. JCDL 2013: 313-322 - [c82]Frank Nielsen:
Perspective click-and-drag area selections in pictures. MVA 2013: 29-32 - [c81]Richard Nock, Frank Nielsen:
Information-geometric lenses for multiple foci+contexts interfaces. SIGGRAPH ASIA Technical Briefs 2013: 18:1-18:4 - [c80]Frank Nielsen:
Pattern Learning and Recognition on Statistical Manifolds: An Information-Geometric Review. SIMBAD 2013: 1-25 - [c79]Olivier Schwander, Frank Nielsen:
Fast Learning of Gamma Mixture Models with k-MLE. SIMBAD 2013: 235-249 - [e2]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - First International Conference, GSI 2013, Paris, France, August 28-30, 2013. Proceedings. Lecture Notes in Computer Science 8085, Springer 2013, ISBN 978-3-642-40019-3 [contents] - [i25]Frank Nielsen:
Cramer-Rao Lower Bound and Information Geometry. CoRR abs/1301.3578 (2013) - [i24]Frank Nielsen:
On the symmetrical Kullback-Leibler Jeffreys centroids. CoRR abs/1303.7286 (2013) - [i23]Frank Nielsen:
Logging safely in public spaces using color PINs. CoRR abs/1304.6499 (2013) - [i22]Frank Nielsen, Richard Nock:
On the Chi square and higher-order Chi distances for approximating f-divergences. CoRR abs/1309.3029 (2013) - [i21]Frank Nielsen, Richard Nock:
Total Jensen divergences: Definition, Properties and k-Means++ Clustering. CoRR abs/1309.7109 (2013) - [i20]Richard Nock, Frank Nielsen, Shun-ichi Amari:
On conformal divergences and their population minimizers. CoRR abs/1311.5125 (2013) - 2012
- [j34]Richard Nock, Paolo Piro, Frank Nielsen, Wafa Bel Haj Ali, Michel Barlaud:
Boosting k-NN for Categorization of Natural Scenes. Int. J. Comput. Vis. 100(3): 294-314 (2012) - [j33]Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
Leveraging k-NN for generic classification boosting. Neurocomputing 80: 3-9 (2012) - [j32]Marc Arnaudon, Frank Nielsen:
Medians and means in Finsler geometry. LMS J. Comput. Math. 15: 23-37 (2012) - [j31]Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen:
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2407-2419 (2012) - [c78]Olivier Schwander, Frank Nielsen:
Model centroids for the simplification of Kernel Density estimators. ICASSP 2012: 737-740 - [c77]Frank Nielsen:
K-MLE: A fast algorithm for learning statistical mixture models. ICASSP 2012: 869-872 - [c76]Frank Nielsen:
Closed-form information-theoretic divergences for statistical mixtures. ICPR 2012: 1723-1726 - [c75]Olivier Schwander, Aurelien J. Schutz, Frank Nielsen, Yannick Berthoumieu:
k-MLE for mixtures of generalized Gaussians. ICPR 2012: 2825-2828 - [c74]Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri:
Jensen divergence based SPD matrix means and applications. ICPR 2012: 2841-2844 - [c73]Roberto D'Ambrosio, Wafa Bel Haj Ali, Richard Nock, Paolo Soda, Frank Nielsen, Michel Barlaud:
Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability. MLMI 2012: 119-127 - [c72]Roberto D'Ambrosio, Richard Nock, Wafa Bel Haj Ali, Frank Nielsen, Michel Barlaud:
Boosting Nearest Neighbors for the Efficient Estimation of Posteriors. ECML/PKDD (1) 2012: 314-329 - [c71]Frank Nielsen:
Perspective dragging: quick area selection in photos. SIGGRAPH ASIA Posters 2012: 18 - [i19]Frank Nielsen:
$k$-MLE: A fast algorithm for learning statistical mixture models. CoRR abs/1203.5181 (2012) - [i18]Frank Nielsen, Richard Nock:
The hyperbolic Voronoi diagram in arbitrary dimension. CoRR abs/1210.8234 (2012) - 2011
- [j30]Frank Nielsen, Richard Nock:
Skew Jensen-Bregman Voronoi Diagrams. Trans. Comput. Sci. 14: 102-128 (2011) - [j29]Frank Nielsen, Sylvain Boltz:
The Burbea-Rao and Bhattacharyya Centroids. IEEE Trans. Inf. Theory 57(8): 5455-5466 (2011) - [j28]Baba C. Vemuri, Meizhu Liu, Shun-ichi Amari, Frank Nielsen:
Total Bregman Divergence and Its Applications to DTI Analysis. IEEE Trans. Medical Imaging 30(2): 475-483 (2011) - [c70]Thomas Houit, Frank Nielsen:
Video Stippling. ACIVS 2011: 384-395 - [c69]Olivier Schwander, Frank Nielsen:
Non-flat clustering with alpha-divergences. ICASSP 2011: 2100-2103 - [c68]Richard Nock, Brice Magdalou, Eric Briys, Frank Nielsen:
On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive. ICML 2011: 73-80 - [i17]Marc Arnaudon, Frank Nielsen:
On Approximating the Riemannian 1-Center. CoRR abs/1101.4718 (2011) - [i16]Frank Nielsen:
Chernoff information of exponential families. CoRR abs/1102.2684 (2011) - [i15]Frank Nielsen, Richard Nock:
On Rényi and Tsallis entropies and divergences for exponential families. CoRR abs/1105.3259 (2011) - [i14]Frank Nielsen, Richard Nock:
A closed-form expression for the Sharma-Mittal entropy of exponential families. CoRR abs/1112.4221 (2011) - 2010
- [j27]Jean-Daniel Boissonnat, Frank Nielsen, Richard Nock:
Bregman Voronoi Diagrams. Discret. Comput. Geom. 44(2): 281-307 (2010) - [j26]Vincent Garcia, Frank Nielsen:
Simplification and hierarchical representations of mixtures of exponential families. Signal Process. 90(12): 3197-3212 (2010) - [c67]Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
Multi-class Leveraged κ-NN for Image Classification. ACCV (3) 2010: 67-81 - [c66]Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen:
Total Bregman divergence and its applications to shape retrieval. CVPR 2010: 3463-3468 - [c65]Sylvain Boltz, Frank Nielsen, Stefano Soatto:
Texture Regimes for Entropy-Based Multiscale Image Analysis. ECCV (3) 2010: 692-705 - [c64]Vincent Garcia, Frank Nielsen, Richard Nock:
Hierarchical Gaussian Mixture Model. ICASSP 2010: 4070-4073 - [c63]Frank Nielsen, Richard Nock:
Hyperbolic Voronoi Diagrams Made Easy. ICCSA Workshops 2010: 74-80 - [c62]Sylvain Boltz, Frank Nielsen:
Randomized motion estimation. ICIP 2010: 781-784 - [c61]Frank Nielsen, Richard Nock:
Entropies and cross-entropies of exponential families. ICIP 2010: 3621-3624 - [c60]Vincent Garcia, Eric Debreuve, Frank Nielsen, Michel Barlaud:
K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching. ICIP 2010: 3757-3760 - [c59]Sylvain Boltz, Frank Nielsen, Stefano Soatto:
Earth Mover Distance on superpixels. ICIP 2010: 4597-4600 - [c58]Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
Boosting Bayesian MAP Classification. ICPR 2010: 661-665 - [c57]Frank Nielsen, Sylvain Boltz, Olivier Schwander:
Bhattacharyya Clustering with Applications to Mixture Simplifications. ICPR 2010: 1437-1440 - [c56]Frank Nielsen, Richard Nock:
Jensen-Bregman Voronoi Diagrams and Centroidal Tessellations. ISVD 2010: 56-65 - [c55]Olivier Schwander, Frank Nielsen:
Reranking with Contextual Dissimilarity Measures from Representational Bregman k-Means. VISAPP (1) 2010: 118-123 - [c54]Paolo Piro, Michel Barlaud, Richard Nock, Frank Nielsen:
K-NN boosting prototype learning for object classification. WIAMIS 2010: 1-4 - [i13]Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
Boosting k-NN for categorization of natural scenes. CoRR abs/1001.1221 (2010) - [i12]Frank Nielsen, Sylvain Boltz:
The Burbea-Rao and Bhattacharyya centroids. CoRR abs/1004.5049 (2010) - [i11]Frank Nielsen:
A family of statistical symmetric divergences based on Jensen's inequality. CoRR abs/1009.4004 (2010) - [i10]Thomas Houit, Frank Nielsen:
Video Stippling. CoRR abs/1011.6049 (2010) - [i9]Marc Arnaudon, Frank Nielsen:
Medians and means in Finsler geometry. CoRR abs/1011.6076 (2010)
2000 – 2009
- 2009
- [b2]Frank Nielsen:
A Concise and Practical Introduction to Programming Algorithms in Java. Undergraduate Topics in Computer Science, Springer 2009, ISBN 978-1-84882-338-9 - [j25]Frank Nielsen:
Technical opinion - Steering self-learning distance algorithms. Commun. ACM 52(11): 150-152 (2009) - [j24]Frank Nielsen, Richard Nock:
Approximating Smallest Enclosing Balls with Applications to Machine Learning. Int. J. Comput. Geom. Appl. 19(5): 389-414 (2009) - [j23]Richard Nock, Frank Nielsen:
Bregman Divergences and Surrogates for Learning. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2048-2059 (2009) - [j22]Richard Nock, Pascal Vaillant, Claudia Henry, Frank Nielsen:
Soft memberships for spectral clustering, with application to permeable language distinction. Pattern Recognit. 42(1): 43-53 (2009) - [j21]Frank Nielsen, Richard Nock:
Sided and symmetrized Bregman centroids. IEEE Trans. Inf. Theory 55(6): 2882-2904 (2009) - [c53]Vincent Garcia, Frank Nielsen, Richard Nock:
Levels of Details for Gaussian Mixture Models. ACCV (2) 2009: 514-525 - [c52]Frank Nielsen, Vincent Garcia, Richard Nock:
Simplifying Gaussian mixture models via entropic quantization. EUSIPCO 2009: 2012-2016 - [c51]Frank Nielsen, Paolo Piro, Michel Barlaud:
Bregman vantage point trees for efficient nearest Neighbor Queries. ICME 2009: 878-881 - [c50]Frank Nielsen, Richard Nock:
The Dual Voronoi Diagrams with Respect to Representational Bregman Divergences. ISVD 2009: 71-78 - [c49]Frank Nielsen, Aurélien Sérandour:
Accuracy of distance metric learning algorithms. KDD Workshop on Data Mining using Matrices and Tensors 2009 - [c48]Vincent Garcia, Frank Nielsen:
Searching High-Dimensional Neighbours: CPU-Based Tailored Data-Structures Versus GPU-Based Brute-Force Method. MIRAGE 2009: 425-436 - [e1]Frank Nielsen:
Emerging Trends in Visual Computing, LIX Fall Colloquium, ETVC 2008, Palaiseau, France, November 18-20, 2008. Revised Invited Papers. Lecture Notes in Computer Science 5416, Springer 2009, ISBN 978-3-642-00825-2 [contents] - [i8]Richard Nock, Brice Magdalou, Nicolas Sanz, Eric Briys, Fred Celimene, Frank Nielsen:
Information geometries and Microeconomic Theories. CoRR abs/0901.2586 (2009) - [i7]Frank Nielsen, Richard Nock:
Hyperbolic Voronoi diagrams made easy. CoRR abs/0903.3287 (2009) - [i6]Frank Nielsen, Vincent Garcia:
Statistical exponential families: A digest with flash cards. CoRR abs/0911.4863 (2009) - 2008
- [j20]Frank Nielsen, Richard Nock:
On the smallest enclosing information disk. Inf. Process. Lett. 105(3): 93-97 (2008) - [c47]Frank Nielsen:
Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing. ETVC 2008: 1-12 - [c46]Frank Nielsen, Richard Nock:
Clustering Multivariate Normal Distributions. ETVC 2008: 164-174 - [c45]Richard Nock, Frank Nielsen:
Intrinsic Geometries in Learning. ETVC 2008: 175-215 - [c44]Frank Nielsen, Alexis André, Shigeru Tajima:
Real-Time Spherical Videos from a Fast Rotating Camera. ICIAR 2008: 326-335 - [c43]Frank Nielsen, Richard Nock:
Bregman sided and symmetrized centroids. ICPR 2008: 1-4 - [c42]Richard Nock, Frank Nielsen:
On the efficient minimization of convex surrogates in supervised learning. ICPR 2008: 1-4 - [c41]Shigeru Owada, Frank Nielsen, Takeo Igarashi, Ryo Haraguchi, Kazuo Nakazawa:
Projection plane processing for sketch-based volume segmentation. ISBI 2008: 117-120 - [c40]Frank Nielsen, Richard Nock:
Quantum Voronoi diagrams and Holevo channel capacity for 1-qubit quantum states. ISIT 2008: 96-100 - [c39]Richard Nock, Frank Nielsen:
On the Efficient Minimization of Classification Calibrated Surrogates. NIPS 2008: 1201-1208 - [i5]Richard Nock, Nicolas Sanz, Fred Celimene, Frank Nielsen:
Staring at Economic Aggregators through Information Lenses. CoRR abs/0801.0390 (2008) - [i4]Richard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry:
Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm. CoRR abs/0810.1261 (2008) - 2007
- [j19]Richard Nock, Frank Nielsen:
A Real generalization of discrete AdaBoost. Artif. Intell. 171(1): 25-41 (2007) - [j18]Frank Nielsen:
The Digital Chameleon Principle: Computing Invisibility by Rendering Transparency. IEEE Computer Graphics and Applications 27(1): 90-96 (2007) - [j17]Richard Nock, Frank Nielsen:
Self-improved gaps almost everywhere for the agnostic approximation of monomials. Theor. Comput. Sci. 377(1-3): 139-150 (2007) - [c38]Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock:
Visualizing bregman voronoi diagrams. SCG 2007: 121-122 - [c37]Claudia Henry, Richard Nock, Frank Nielsen:
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree. IJCAI 2007: 842-847 - [c36]Frank Nielsen, Richard Nock:
Fast Graph Segmentation Based on Statistical Aggregation Phenomena. MVA 2007: 150-153 - [c35]Shigeru Owada, Makoto Okabe, Takeo Igarashi, Frank Nielsen, Norimichi Tsumura:
Customized Slider Bars for Adjusting Multi-dimension Parameter Sets. Smart Graphics 2007: 230-232 - [c34]Shigeru Owada, Frank Nielsen, Kazuo Nakazawa, Takeo Igarashi:
A sketching interface for modeling the internal structures of 3D shapes. SIGGRAPH Courses 2007: 38 - [c33]Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock:
On Bregman Voronoi diagrams. SODA 2007: 746-755 - [i3]Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock:
Bregman Voronoi Diagrams: Properties, Algorithms and Applications. CoRR abs/0709.2196 (2007) - [i2]Frank Nielsen, Richard Nock:
On the Centroids of Symmetrized Bregman Divergences. CoRR abs/0711.3242 (2007) - 2006
- [j16]Richard Nock, Frank Nielsen:
On Weighting Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1223-1235 (2006) - [c32]Frank Nielsen, Richard Nock:
On the Smallest Enclosing Information Disk. CCCG 2006 - [c31]Frank Nielsen, Richard Nock:
On approximating the smallest enclosing Bregman Balls. SCG 2006: 485-486 - [c30]Richard Nock, Frank Nielsen:
A Real Generalization of Discrete AdaBoost. ECAI 2006: 509-515 - [c29]Richard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry:
Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm. ECAI 2006: 823-824 - [c28]Frank Nielsen, Shigeru Owada, Yuichi Hasegawa:
Autoframing: A Recommendation System for Detecting Undesirable Elements and Cropping Automatically Photos. ICME 2006: 417-420 - [c27]Shigeru Owada, Frank Nielsen, Takeo Igarashi:
Copy-Paste Synthesis of 3D Geometry with Repetitive Patterns. Smart Graphics 2006: 184-193 - [c26]Shigeru Owada, Frank Nielsen, Kazuo Nakazawa, Takeo Igarashi:
A sketching interface for modeling the internal structures of 3D shapes. SIGGRAPH Courses 2006: 12 - 2005
- [j15]Frank Nielsen, Richard Nock:
A fast deterministic smallest enclosing disk approximation algorithm. Inf. Process. Lett. 93(6): 263-268 (2005) - [j14]Richard Nock, Frank Nielsen:
Semi-supervised statistical region refinement for color image segmentation. Pattern Recognit. 38(6): 835-846 (2005) - [j13]Frank Nielsen:
Surround video: a multihead camera approach. Vis. Comput. 21(1-2): 92-103 (2005) - [c25]Frank Nielsen, Richard Nock:
Interactive Pinpoint Image Object Removal. CVPR (2) 2005: 1191 - [c24]Richard Nock, Frank Nielsen:
Fitting the Smallest Enclosing Bregman Ball. ECML 2005: 649-656 - [c23]Paul Agron, Leo Bachmair, Frank Nielsen:
A Visual Interactive Framework for Formal Derivation. International Conference on Computational Science (1) 2005: 1019-1026 - [c22]Frank Nielsen, Richard Nock:
Interactive Point-and-Click Segmentation for Object Removal in Digital Images. ICCV-HCI 2005: 131-140 - [c21]Frank Nielsen, Richard Nock:
ClickRemoval: interactive pinpoint image object removal. ACM Multimedia 2005: 315-318 - [c20]Shigeru Owada, Frank Nielsen, Takeo Igarashi:
Volume catcher. SI3D 2005: 111-116 - 2004
- [j12]Richard Nock, Frank Nielsen:
Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1452-1458 (2004) - [j11]Richard Nock, Frank Nielsen:
On domain-partitioning induction criteria: worst-case bounds for the worst-case based. Theor. Comput. Sci. 321(2-3): 371-382 (2004) - [j10]Shigeru Owada, Frank Nielsen, Makoto Okabe, Takeo Igarashi:
Volumetric illustration: designing 3D models with internal textures. ACM Trans. Graph. 23(3): 322-328 (2004) - [c19]Frank Nielsen, Richard Nock:
Approximating smallest enclosing disks. CCCG 2004: 124-127 - [c18]Richard Nock, Frank Nielsen:
Grouping with Bias Revisited. CVPR (2) 2004: 460-465 - [c17]Frank Nielsen, Richard Nock:
Approximating Smallest Enclosing Balls. ICCSA (3) 2004: 147-157 - [c16]Richard Nock, Frank Nielsen:
Improving Clustering Algorithms through Constrained Convex Optimization. ICPR (4) 2004: 557-560 - [c15]Richard Nock, Frank Nielsen:
An Abstract Weighting Framework for Clustering Algorithms. SDM 2004: 200-209 - 2003
- [j9]Matthew J. Katz, Frank Nielsen, Michael Segal:
Maintenance of a Piercing Set for Intervals with Applications. Algorithmica 36(1): 59-73 (2003) - [j8]Shigeru Owada, Yoshihisa Shinagawa, Frank Nielsen:
Enumeration of Contour Correspondence. Int. J. Image Graph. 3(4): 609-628 (2003) - [c14]Frank Nielsen, Richard Nock:
On Region Merging: The Statistical Soundness of Fast Sorting, with Applications. CVPR (2) 2003: 19-26 - [c13]Frank Nielsen:
Plenoptic path and its applications. ICIP (1) 2003: 793-796 - [c12]Shigeru Owada, Frank Nielsen, Kazuo Nakazawa, Takeo Igarashi:
A Sketching Interface for Modeling the Internal Structures of 3D Shapes. Smart Graphics 2003: 49-57 - 2002
- [j7]Tatsuo Yotsukura, Shigeo Morishima, Frank Nielsen, Kim Binsted, Claudio S. Pinhanez:
HyperMask - projecting a talking head onto a real object. Vis. Comput. 18(2): 111-120 (2002) - [c11]Frank Nielsen:
High Resolution Full Spherical Videos. ITCC 2002: 260-267 - 2001
- [j6]Frank Nielsen:
On point covers of c-oriented polygons. Theor. Comput. Sci. 263(1-2): 17-29 (2001) - [j5]Patrice Calégari, Frédéric Guidec, Pierre Kuonen, Frank Nielsen:
Combinatorial optimization algorithms for radio network planning. Theor. Comput. Sci. 263(1-2): 235-245 (2001) - [c10]Shigeo Morishima, Tatsuo Yotsukura, Frank Nielsen, Kim Binsted, Claudio S. Pinhanez:
HYPER MASK - Projecting a Virtual Face onto a Moving Real Object. Eurographics (Short Presentations) 2001 - 2000
- [j4]Alon Efrat, Matthew J. Katz, Frank Nielsen, Micha Sharir:
Dynamic data structures for fat objects and their applications. Comput. Geom. 15(4): 215-227 (2000) - [j3]Frank Nielsen:
Fast stabbing of boxes in high dimensions. Theor. Comput. Sci. 246(1-2): 53-72 (2000) - [c9]Matthew J. Katz, Frank Nielsen, Michael Segal:
Maintenance of a Percing Set for Intervals with Applications. ISAAC 2000: 552-563 - [c8]Frank Nielsen, Nicolas de Mauroy:
On the Precision of Textures. MVA 2000: 31-34 - [i1]Matthew J. Katz, Frank Nielsen, Michael Segal:
Shooter Location through Piercing Sets. EuroCG 2000: 55-58
1990 – 1999
- 1999
- [c7]Claudio S. Pinhanez, Frank Nielsen, Kim Binsted:
Projecting computer graphics on moving surfaces: a simple calibration and tracking method. SIGGRAPH Abstracts and Applications 1999: 266 - 1998
- [j2]Frank Nielsen, Mariette Yvinec:
Output-Sensitive Convex Hull Algorithms of Planar Convex Objects. Int. J. Comput. Geom. Appl. 8(1): 39-66 (1998) - [c6]Frank Nielsen:
On point covers of c-oriented polygons. CCCG 1998 - [c5]Frank Nielsen:
Grouping and Querying: A Paradigm to Get Output-Sensitive Algorithms. JCDCG 1998: 250-257 - [c4]Frank Nielsen:
Randomized Adaptive Algorithms for Mosaicing Systems. MVA 1998: 11-14 - 1997
- [c3]Alon Efrat, Matthew J. Katz, Frank Nielsen, Micha Sharir:
Dynamic Data Structures for Fat Objects and Their Applications. WADS 1997: 297-306 - 1996
- [b1]Frank Nielsen:
Algorithmes géométriques adaptatifs. (Output-sensitive Computational Geometry). University of Nice Sophia Antipolis, France, 1996 - [j1]Frank Nielsen:
Output-Sensitive Peeling of Convex and Maximal Layers. Inf. Process. Lett. 59(5): 255-259 (1996) - [c2]Frank Nielsen:
Fast Stabbing of Boxes in High Dimensions. CCCG 1996: 87-92 - [c1]Matthew J. Katz, Frank Nielsen:
On Piercing Sets of Objects. SCG 1996: 113-121
Coauthor Index
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