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A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis

PloS one, 2022-02, Vol.17 (2), p.e0263377-e0263377

2022

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A global rise in alluvial mining increases sediment load in tropical rivers

Nature (London), 2023-08, Vol.620 (7975), p.787-793

2023

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Operation mercury: Impacts of national‐level armed forces intervention and anticorruption strategy on artisanal gold mining and water quality in the Peruvian Amazon

Conservation letters, 2023-09, Vol.16 (5), p.n/a

2023

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Randomized methods in lossless compression of hyperspectral data

Journal of applied remote sensing, 2013-07, Vol.7 (1), p.74598

2013

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Algorithms and applications for approximate nonnegative matrix factorization

Computational statistics & data analysis, 2007-09, Vol.52 (1), p.155-173

2007

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Tensor methods for hyperspectral data analysis: a space object material identification study

Journal of the Optical Society of America. A, Optics, image science, and vision, 2008-12, Vol.25 (12), p.3001

2008

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Nonnegative matrix factorization for spectral data analysis

Linear algebra and its applications, 2006-07, Vol.416 (1), p.29-47

2006

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Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (7), p.1746

2022

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Document clustering using nonnegative matrix factorization

Information processing & management, 2006-03, Vol.42 (2), p.373-386

2006

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Engaging Non-Traditional Students in Computer Science through Socially-Inspired Learning and Sustained Mentoring

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015, p.639-644

2015

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Mobile apps for the greater good: a socially relevant approach to software engineering

Proceedings of the 43rd ACM technical symposium on Computer Science Education, 2012, p.535-540

2012

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Iris Segmentation for Challenging Periocular Images

Handbook of Iris Recognition, 2016, p.281-308

2016

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Matching highly non-ideal ocular images: An information fusion approach

2012 5th IAPR International Conference on Biometrics (ICB), 2012, p.446-453

2012

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Classification of pixel-level fused hyperspectral and lidar data using deep convolutional neural networks

2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016, p.1-5

2016

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Space-varying restoration of optical images

Journal of the Optical Society of America. A, Optics, image science, and vision, 1997-12, Vol.14 (12), p.3162

1997

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Multi-Dimensional Regular Expressions for Object Detection with LiDAR Imaging

Imaging, Vision and Learning Based on Optimization and PDEs, 2018, p.145-164

2018

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A Symbolic-AI Approach for UAV Exploration Tasks

2021 7th International Conference on Automation, Robotics and Applications (ICARA), 2021, p.101-105

2021

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Iterative Directional Ray-Based Iris Segmentation for Challenging Periocular Images

Biometric Recognition, 2011, p.91-99

2011

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Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments

2021 International Conference on Unmanned Aircraft Systems (ICUAS), 2021, p.265-274

2021

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Engaging the community with mobile app projects (abstract only)

Proceedings of the 43rd ACM technical symposium on Computer Science Education, 2012, p.683-683

2012

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Algorithms and applications for approximate nonnegative matrix factorization : Machine learding and robust data mining

Computational statistics & data analysis, 2007, Vol.52 (1), p.155-173

2007

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Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests

2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022, p.1-5

2022

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Iris Segmentation for Challenging Periocular Images

Handbook of Iris Recognition, 2012, p.281-308

2012

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Detecting objects under shadows by fusion of hyperspectral and LiDAR DATA: A physical model approach

2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2013, p.1-4

2013

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Automated development of fast transforms

Pauca, Victor Paul

2001

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A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis

A global rise in alluvial mining increases sediment load in tropical rivers

Operation mercury: Impacts of national‐level armed forces intervention and anticorruption strategy on artisanal gold mining and water quality in the Peruvian Amazon

Randomized methods in lossless compression of hyperspectral data

Algorithms and applications for approximate nonnegative matrix factorization

Tensor methods for hyperspectral data analysis: a space object material identification study

Nonnegative matrix factorization for spectral data analysis

Change Detection of Amazonian Alluvial Gold Mining Using Deep Learning and Sentinel-2 Imagery

Document clustering using nonnegative matrix factorization

Engaging Non-Traditional Students in Computer Science through Socially-Inspired Learning and Sustained Mentoring

Mobile apps for the greater good: a socially relevant approach to software engineering

Iris Segmentation for Challenging Periocular Images

Matching highly non-ideal ocular images: An information fusion approach

Classification of pixel-level fused hyperspectral and lidar data using deep convolutional neural networks

Space-varying restoration of optical images

Multi-Dimensional Regular Expressions for Object Detection with LiDAR Imaging

A Symbolic-AI Approach for UAV Exploration Tasks

Iterative Directional Ray-Based Iris Segmentation for Challenging Periocular Images

Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments

Engaging the community with mobile app projects (abstract only)

Algorithms and applications for approximate nonnegative matrix factorization : Machine learding and robust data mining

Semi-Supervised Change Detection Of Small Water Bodies Using Rgb And Multispectral Images In Peruvian Rainforests

Iris Segmentation for Challenging Periocular Images

Detecting objects under shadows by fusion of hyperspectral and LiDAR DATA: A physical model approach

Automated development of fast transforms

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