Elnaz Barshan
Elnaz Barshan
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Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds
E Barshan, A Ghodsi, Z Azimifar, MZ Jahromi
Pattern Recognition 44 (7), 1357-1371, 2011
Relatif: Identifying explanatory training samples via relative influence
E Barshan, ME Brunet, GK Dziugaite
International Conference on Artificial Intelligence and Statistics, 1899-1909, 2020
Stage-wise training: An improved feature learning strategy for deep models
E Barshan, P Fieguth
Feature extraction: Modern questions and challenges, 49-59, 2015
35.3: Resolution enhancement based on shifted superposition
E Barshan, M Lamm, C Scharfenberger, P Fieguth
SID Symposium Digest of Technical Papers 46 (1), 514-517, 2015
Evolution in groups: a deeper look at synaptic cluster driven evolution of deep neural networks
MJ Shafiee, E Barshan, A Wong
arXiv preprint arXiv:1704.02081, 2017
Leca: A learned approach for efficient cover-agnostic watermarking
X Luo, M Goebel, E Barshan, F Yang
arXiv preprint arXiv:2206.10813, 2022
Learning efficient deep feature representations via transgenerational genetic transmission of environmental information during evolutionary synthesis of deep neural networks
MJ Shafiee, E Barshan, F Li, B Chwyl, M Karg, C Scharfenberger, A Wong
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Semantics Preserving Adversarial Learning
OA Dia, E Barshan, R Babanezhad
arXiv preprint arXiv:1903.03905, 2019
Scalable learning for restricted Boltzmann machines
E Barshan, P Fieguth
2014 IEEE international conference on image processing (ICIP), 2754-2758, 2014
Scalable multi-neighborhood learning for convolutional networks
E Barshan, P Fieguth, A Wong
2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015
Systems and methods for identifying influential training data points
E Barshan, M Brunet
US Patent 11,593,673, 2023
Semantics Preserving Adversarial Attacks
OA Dia, E Barshan, R Babanezhad
Regularizing Deep Models for Visual Recognition
E Barshan Tashnizi
University of Waterloo, 2016
Multi-Neighborhood Convolutional Networks
E Barshan, P Fieguth, A Wong
Journal of Computational Vision and Imaging Systems 1 (1), 2015
Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods
E Barshan, M Behravan, Z Azimifar
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2009
An, Jungkwuen, SAIT, Samsung Electronics Co., 130, Samsungro, Maetandong, Youngtonggu, Suwon 443-803, South Korea; Email: jungkwuen. an@ samsung. com Arai, Toshiaki, JOLED, Inc …
M Ayama, G Baasantseren, B Balaganesan, M Banks, Z Bao, E Barshan, ...
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