Bharath Bhushan Damodaran

According to our database1, Bharath Bhushan Damodaran authored at least 16 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images.
Computer Vision and Image Understanding, 2020

2019
GEOBIA at the Terapixel Scale: Toward Efficient Mapping of Small Woody Features from Heterogeneous VHR Scenes.
ISPRS Int. J. Geo-Information, 2019

Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise.
CoRR, 2019

2018
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification.
CoRR, 2018

Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers.
CoRR, 2018

Large Scale Optimal Transport and Mapping Estimation.
Proceedings of the 6th International Conference on Learning Representations, 2018

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification.
IEEE Trans. Geoscience and Remote Sensing, 2017

Data Dependent Kernel Approximation using Pseudo Random Fourier Features.
CoRR, 2017

A comparative noise robustness study of tree representations for attribute profile construction.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Attribute Profiles from Partitioning Trees.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2017

Classification of VHR remote sensing images using local feature-based attribute profiles.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Unsupervised classifier selection approach for hyperspectral image classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2015

2014
Dynamic Linear Classifier System for Hyperspectral Image Classification for Land Cover Mapping.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2014


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