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Mario Parente

Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images

Apr 21, 2022
Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik Learned-Miller, Mario Parente

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* Earthvision at CVPR Workshops 2022, Code and datasets are available at https://github.com/TejasPanambur/mastcam

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Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy

Jun 08, 2019
Shubhankar Deshpande, Brian D. Bue, David R. Thompson, Vijay Natraj, Mario Parente

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* Accepted to International Conference on Machine Learning (ICML) 2019 Workshop: Climate Change: How Can AI Help?

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On Clustering and Embedding Mixture Manifolds using a Low Rank Neighborhood Approach

Aug 12, 2017
Arun M. Saranathan, Mario Parente

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* 11 Pages

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Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation

Jan 03, 2017
Yuki Itoh, Siwei Feng, Marco F. Duarte, Mario Parente

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* 15 pages, 11 figures, 4 tables

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Perfect Recovery Conditions For Non-Negative Sparse Modeling

Sep 20, 2016
Yuki Itoh, Marco F. Duarte, Mario Parente

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* 12 pages, 8 figures

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Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination

Apr 08, 2016
Siwei Feng, Yuki Itoh, Mario Parente, Marco F. Duarte

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* 21 pages, 8 figures, 4 tables, preprint, revised April 8 2016

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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Apr 24, 2012
José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, Paul Gader, Jocelyn Chanussot

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* This work has been accepted for publication in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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