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Bharath Bhushan Damodaran
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Wasserstein Adversarial Regularization for learning with label noise
An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images
Data Dependent Kernel Approximation using Pseudo Random Fourier Features
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
Large-Scale Optimal Transport and Mapping Estimation
Randomized Nonlinear Component Analysis for Dimensionality Reduction of Hyperspectral Images
Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification
Unsupervised Classifier Selection Approach for Hyperspectral Image Classification
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