Search Results - "Vu, Tiep H."

  • Showing 1 - 8 results of 8
Refine Results
  1. 1

    DFDL: Discriminative feature-oriented dictionary learning for histopathological image classification by Vu, Tiep H., Mousavi, Hojjat S., Monga, Vishal, Rao, U.K. Arvind, Rao, Ganesh

    “…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
    Conference Proceeding
  2. 2

    Learning a low-rank shared dictionary for object classification by Vu, Tiep H., Monga, Vishal

    “…Despite the fact that different objects possess distinct class-specific features, they also usually share common patterns. Inspired by this observation, we…”
    Get full text
    Conference Proceeding
  3. 3

    Adaptive matching pursuit for sparse signal recovery by Vu, Tiep H., Mousavi, Hojjat S., Monga, Vishal

    “…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…”
    Get full text
    Conference Proceeding
  4. 4

    Deep network for simultaneous decomposition and classification in UWB-SAR imagery by Vu, Tiep H., Nguyen, Lam, Guo, Tiantong, Monga, Vishal

    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…”
    Get full text
    Conference Proceeding
  5. 5

    Learning a low-rank shared dictionary for object classification by Vu, Tiep H, Monga, Vishal

    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…”
    Get full text
    Journal Article
  6. 6

    Tensor sparsity for classifying low-frequency ultra-wideband (UWB) SAR imagery by Vu, Tiep H., Lam Nguyen, Le, Calvin, Monga, Vishal

    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…”
    Get full text
    Conference Proceeding
  7. 7

    Adaptive matching pursuit for sparse signal recovery by Vu, Tiep H, Mousavi, Hojjat S, Monga, Vishal

    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…”
    Get full text
    Journal Article
  8. 8

    DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification by Vu, Tiep H, Mousavi, Hojjat S, Monga, Vishal, Rao, UK Arvind, Rao, Ganesh

    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