Searchlight based feature extraction
S Jamshy, O Perez, Y Yeshurun, T Hendler… - Machine Learning and …, 2012 - Springer
… Step three introduces the novel feature extraction method that leads to an efficient whole-…
feature extraction operator.. Given the group of previously chosen best performing searchlights …
feature extraction operator.. Given the group of previously chosen best performing searchlights …
Interactive search and exploration of waveform data with searchlight
A Kalinin, U Cetintemel, S Zdonik - Proceedings of the 2016 International …, 2016 - dl.acm.org
… Searchlight enhances the query execution engine of an array DBMS (currently … extract and
transform it. This demo will illustrate the rich search and exploration capabilities of Searchlight…
transform it. This demo will illustrate the rich search and exploration capabilities of Searchlight…
Searchlight: Enabling integrated search and exploration over large multidimensional data
A Kalinin, U Cetintemel, S Zdonik - Proceedings of the VLDB Endowment, 2015 - dl.acm.org
… We present a new system, called Searchlight, that … to extract, transform and move the
data. This marriage concurrently offers the rich expressiveness and efficiency of constraintbased …
data. This marriage concurrently offers the rich expressiveness and efficiency of constraintbased …
Cortical surface-based searchlight decoding
… distance as in volumetric searchlights. Using a paradigm in … -based method to a standard
volumetric searchlight technique. … decoding which differ in their methods of feature extraction. …
volumetric searchlight technique. … decoding which differ in their methods of feature extraction. …
Identifying Networks within an fMRI Multivariate Searchlight Analysis
M Sharma, MN Coutanche - bioRxiv, 2025 - biorxiv.org
… Significant searchlights … of searchlights. Notably, unlike methods that collapse trials by
condition, such as Representational Similarity Analysis, our method groups searchlights based on …
condition, such as Representational Similarity Analysis, our method groups searchlights based on …
Searchlight classification based on Amplitude of Low Frequency Fluctuation and functional connectivity in individuals with obsessive-compulsive symptoms
Y Wang, X Cai, R Zhang, Y Wang… - Cognitive …, 2019 - Taylor & Francis
… We conducted searchlight classification and comparison analysis between the two groups
based … ALFF (fALFF) and resting-state functional connectivity using searchlight classification. …
based … ALFF (fALFF) and resting-state functional connectivity using searchlight classification. …
Fast Gaussian Naïve Bayes for searchlight classification analysis
M Ontivero-Ortega, A Lage-Castellanos, G Valente… - Neuroimage, 2017 - Elsevier
… in all searchlights simultaneously, and is faster than previously published searchlight
GNB … To ensure that the gain in speed for GNB would be useful in searchlight analysis, we …
GNB … To ensure that the gain in speed for GNB would be useful in searchlight analysis, we …
Analysis of structural features of a LED searchlight
NL Kazanskiy, SR Abulkhanov… - Journal of Physics …, 2018 - iopscience.iop.org
… The searchlight’s construction consists of several types of surfaces, such as ellipsoidal, …
Therefore, to model the searchlight’s ray tracing, we were using exactlythis type of surfaces. …
Therefore, to model the searchlight’s ray tracing, we were using exactlythis type of surfaces. …
Gradient-based representational similarity analysis with searchlight for analyzing fmri data
X Sheng, M Yousefnezhad, T Xu, N Yuan… - Chinese Conference on …, 2018 - Springer
… an aim to link searchlight analysis with GRSA. We develop this model by using a spatiotemporal
searchlight GRSA algorithm which can generalize our ROI-based GRSA algorithm to …
searchlight GRSA algorithm which can generalize our ROI-based GRSA algorithm to …
Functional Connectivity-Based searchlight multivariate pattern analysis for discriminating schizophrenia patients and predicting clinical variables
Y Chen, S Wang, X Zhang, Q Yang, M Hua… - Schizophrenia …, 2025 - academic.oup.com
… This study explores the potential of functional connectivity (FC)-based searchlight multivariate
pattern analysis (CBS-MVPA) to discriminate between schizophrenia patients and healthy …
pattern analysis (CBS-MVPA) to discriminate between schizophrenia patients and healthy …