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

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

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

Cortical surface-based searchlight decoding

Y Chen, P Namburi, LT Elliott, J Heinzle, CS Soon… - Neuroimage, 2011 - Elsevier
… 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. …

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 …

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. …

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 …

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. …

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 …

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 …