Search Results - "Vu, Tiep H"
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DFDL: Discriminative feature-oriented dictionary learning for histopathological image classification
Published in 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) (01-04-2015)“…In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each…”
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Conference Proceeding -
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Learning a low-rank shared dictionary for object classification
Published in 2016 IEEE International Conference on Image Processing (ICIP) (01-09-2016)“…Despite the fact that different objects possess distinct class-specific features, they also usually share common patterns. Inspired by this observation, we…”
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Conference Proceeding -
3
Adaptive matching pursuit for sparse signal recovery
Published in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-03-2017)“…Spike and Slab priors have been of much recent interest in signal processing as a means of inducing sparsity in Bayesian inference. Applications domains that…”
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Conference Proceeding -
4
Deep network for simultaneous decomposition and classification in UWB-SAR imagery
Published in 2018 IEEE Radar Conference (RadarConf18) (01-04-2018)“…Classifying buried and obscured targets of interest from other natural and manmade clutter objects in the scene is an important problem for the U.S. Army…”
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Conference Proceeding -
5
Learning a low-rank shared dictionary for object classification
Published 31-01-2016“…Despite the fact that different objects possess distinct class-specific features, they also usually share common patterns. Inspired by this observation, we…”
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Journal Article -
6
Tensor sparsity for classifying low-frequency ultra-wideband (UWB) SAR imagery
Published in 2017 IEEE Radar Conference (RadarConf) (01-05-2017)“…Although a lot of progress has been made over the years, one critical challenge still facing low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic…”
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Conference Proceeding -
7
Adaptive matching pursuit for sparse signal recovery
Published 12-09-2016“…Spike and Slab priors have been of much recent interest in signal processing as a means of inducing sparsity in Bayesian inference. Applications domains that…”
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Journal Article -
8
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification
Published 03-02-2015“…In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each…”
Get full text
Journal Article