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20032026
most citedNonlinear unmixing of hyperspectral images: models and algorithms

421 citations · 3.9k across the 201 of their papers we have counts for

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12 papers · 1 filter

cs.CV2020

OrthoReg: Robust Network Pruning Using Orthonormality Regularization

Ekdeep Singh Lubana, Puja Trivedi, Conrad Hougen +2

Network pruning in Convolutional Neural Networks (CNNs) has been extensively investigated in recent years. To determine the impact of pruning a group of filters on a network's accu…

cs.CV2018

Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment

Inyong Yun, Cheolkon Jung, Xinran Wang +2

Pedestrians in videos have a wide range of appearances such as body poses, occlusions, and complex backgrounds, and there exists the proposal shift problem in pedestrian detection…

cs.CV2016

Robust SAR STAP via Kronecker Decomposition

Kristjan Greenewald, Edmund Zelnio, Alfred Hero

This paper proposes a spatio-temporal decomposition for the detection of moving targets in multiantenna SAR. As a high resolution radar imaging modality, SAR detects and localizes…

cs.CV2015★ 2 cited

Multimodal MRI Neuroimaging with Motion Compensation Based on Particle Filtering

Yu-Hui Chen, Roni Mittelman, Boklye Kim +2

Head movement during scanning impedes activation detection in fMRI studies. Head motion in fMRI acquired using slice-based Echo Planar Imaging (EPI) can be estimated and compensate…

cs.CV2015★ 22 cited

Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis

Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder +1

We consider the problem of identifying patterns in a data set that exhibit anomalous behavior, often referred to as anomaly detection. Similarity-based anomaly detection algorithms…

cs.CV2015★ 12 cited

A Dictionary Approach to EBSD Indexing

Yu-Hui Chen, Se Un Park, Dennis Wei +5

We propose a framework for indexing of grain and sub-grain structures in electron backscatter diffraction (EBSD) images of polycrystalline materials. The framework is based on a pr…