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15th SISAP 2022, Bologna, Italy
- Tomás Skopal
, Fabrizio Falchi
Similarity Search and Applications - 15th International Conference, SISAP 2022, Bologna, Italy, October 5-7, 2022, Proceedings. Lecture Notes in Computer Science 13590, Springer 2022, ISBN 978-3-031-17848-1
Applications
- Florian Lalande
Numerical Data Imputation: Choose kNN over Deep Learning. 3-10 - Ilaria Bartolini, Vincenzo Moscato, Marco Postiglione
COSINER: COntext SImilarity data augmentation for Named Entity Recognition. 11-24 - My Hong Le, Alexander Hinneburg
An Application of Learned Multi-modal Product Similarity to E-Commerce. 25-39 - Gianluca Moro
Deep Vision-Language Model for Efficient Multi-modal Similarity Search in Fashion Retrieval. 40-53 - Ubaldo Ruiz, Stéphane Marchand-Maillet
Stable Anchors for Matching Unlabelled Point Clouds. 54-63 - Petra Budíková
Visual Exploration of Human Motion Data. 64-71
Foundations
- Erik Thordsen
On Projections to Linear Subspaces. 75-88 - Vladimir Mic
Concept of Relational Similarity Search. 89-103 - Lucia Vadicamo
On the Expected Exclusion Power of Binary Partitions for Metric Search. 104-117 - Markéta Krenková, Vladimir Mic
Similarity Search with the Distance Density Model. 118-132 - Cole Foster, Berk Sevilmis, Benjamin B. Kimia:
Generalized Relative Neighborhood Graph (GRNG) for Similarity Search. 133-149 - Richard Connor:
A Ptolemaic Partitioning Mechanism. 150-163 - Stéphane Marchand-Maillet
HubHSP Graph: Effective Data Sampling for Pivot-Based Representation Strategies. 164-177
Indexing and Clustering
- Ibrahim Chegrane, Imane Hocine, Saïd Yahiaoui
Graph Edit Distance Compacted Search Tree. 181-189 - Lars Lenssen
Clustering by Direct Optimization of the Medoid Silhouette. 190-204 - Erich Schubert
Automatic Indexing for Similarity Search in ELKI. 205-213 - Fabio Carrara
Approximate Nearest Neighbor Search on Standard Search Engines. 214-221 - Dusica Knezevic
Evaluation of LID-Aware Graph Embedding Methods for Node Clustering. 222-233 - Henrique O. Marques
Similarity-Based Unsupervised Evaluation of Outlier Detection. 234-248
Learning
- Gabriele Lagani
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level. 251-264 - Paras Sheth
Causal Disentanglement with Network Information for Debiased Recommendations. 265-273 - Jaroslav Olha
Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques. 274-282 - Gianluca Moro
Self-supervised Information Retrieval Trained from Self-generated Sets of Queries and Relevant Documents. 283-290
Doctoral Symposium
- Armin Hedzic
Discovering Knowledge Graphs via Attention-Driven Graph Generation. 293-298 - Alessandro Abluton
Visual Recommendation and Visual Search for Fashion E-Commerce. 299-304
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