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Evgeniy Bart

Showing results (1-10 of 12) with videos related to

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Frontiers in Computational Neuroscience|April 2, 2019
Editorial: Deep Learning in Biological, Computer, and Neuromorphic SystemsEvgeniy Bart, Jay Hegdé
Frontiers in Computational Neuroscience|September 1, 2012
Invariant object recognition based on extended fragmentsEvgeniy Bart, Jay Hegdé
Frontiers in Computational Neuroscience|September 1, 2012
Invariant recognition of visual objects: some emerging computational principlesEvgeniy Bart, Jay Hegdé
Frontiers in Neuroinformatics|December 6, 2018
Deep Synthesis of Realistic Medical Images: A Novel Tool in Clinical Research and TrainingEvgeniy Bart, Jay Hegdé
Neural Networks : the Official Journal of the International Neural Network Society|August 4, 2004
Recognition invariance obtained by extended and invariant featuresShimon Ullman, Evgeniy Bart
Frontiers in Neuroscience|October 30, 2018
Making Expert Decisions Easier to Fathom: On the Explainability of Visual Object Recognition ExpertiseJay Hegdé, Evgeniy Bart
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2008
Class-based feature matching across unrestricted transformationsEvgeniy Bart, Shimon Ullman
Frontiers in Neuroscience|March 6, 2013
Exploiting temporal continuity of views to learn visual object invarianceEvgeniy Bart, Jay Hegdé
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 27, 2011
Unsupervised organization of image collections: taxonomies and beyondEvgeniy Bart, Max Welling, Pietro Perona
Plos One|July 7, 2011
What the 'Moonwalk' illusion reveals about the perception of relative depth from motionSarah Kromrey, Evgeniy Bart, Jay Hegdé
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Frontiers in Computational Neuroscience|April 2, 2019
Editorial: Deep Learning in Biological, Computer, and Neuromorphic SystemsEvgeniy Bart, Jay Hegdé
Frontiers in Computational Neuroscience|September 1, 2012
Invariant object recognition based on extended fragmentsEvgeniy Bart, Jay Hegdé
Frontiers in Computational Neuroscience|September 1, 2012
Invariant recognition of visual objects: some emerging computational principlesEvgeniy Bart, Jay Hegdé
Frontiers in Neuroinformatics|December 6, 2018
Deep Synthesis of Realistic Medical Images: A Novel Tool in Clinical Research and TrainingEvgeniy Bart, Jay Hegdé
Neural Networks : the Official Journal of the International Neural Network Society|August 4, 2004
Recognition invariance obtained by extended and invariant featuresShimon Ullman, Evgeniy Bart
Frontiers in Neuroscience|October 30, 2018
Making Expert Decisions Easier to Fathom: On the Explainability of Visual Object Recognition ExpertiseJay Hegdé, Evgeniy Bart
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2008
Class-based feature matching across unrestricted transformationsEvgeniy Bart, Shimon Ullman
Frontiers in Neuroscience|March 6, 2013
Exploiting temporal continuity of views to learn visual object invarianceEvgeniy Bart, Jay Hegdé
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 27, 2011
Unsupervised organization of image collections: taxonomies and beyondEvgeniy Bart, Max Welling, Pietro Perona
Plos One|July 7, 2011
What the 'Moonwalk' illusion reveals about the perception of relative depth from motionSarah Kromrey, Evgeniy Bart, Jay Hegdé
Pageof 2