402 citations · 875 across the 35 of their papers we have counts for
4 papers · 2 filters
Collaborative Multi-sensor Classification via Sparsity-based Representation
Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi +1
In this paper, we propose a general collaborative sparse representation framework for multi-sensor classification, which takes into account the correlations as well as complementar…
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion Recognition
Xiang Xiang, Minh Dao, Gregory D. Hager +1
In this paper, we design a Collaborative-Hierarchical Sparse and Low-Rank (C-HiSLR) model that is natural for recognizing human emotion in visual data. Previous attempts require ex…
Structured Dictionary Learning for Classification
Yuanming Suo, Minh Dao, Umamahesh Srinivas +2
Sparsity driven signal processing has gained tremendous popularity in the last decade. At its core, the assumption is that the signal of interest is sparse with respect to either a…
Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification
Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi +1
Pixel-wise classification, where each pixel is assigned to a predefined class, is one of the most important procedures in hyperspectral image (HSI) analysis. By representing a test…