89 citations · 172 across the 4 of their papers we have counts for
7 papers
A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing
Chia-Hsiang Lin, Chong-Yung Chi, Yu-Hsiang Wang +1
Hyperspectral unmixing (HU) is a crucial signal processing procedure to identify the underlying materials (or endmembers) and their corresponding proportions (or abundances) from a…
Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches
Xiao Fu, Wing-Kin Ma, José Bioucas-Dias +1
The dictionary-aided sparse regression (SR) approach has recently emerged as a promising alternative to hyperspectral unmixing (HU) in remote sensing. By using an available spectra…
Robust Face Recognition by Constrained Part-based Alignment
Yuting Zhang, Kui Jia, Yueming Wang +3
Developing a reliable and practical face recognition system is a long-standing goal in computer vision research. Existing literature suggests that pixel-wise face alignment is the…
Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related
Xiao Fu, Wing-Kin Ma, Tsung-Han Chan +1
This paper considers a recently emerged hyperspectral unmixing formulation based on sparse regression of a self-dictionary multiple measurement vector (SD-MMV) model, wherein the m…
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan, Kui Jia, Shenghua Gao +3
In this work, we propose a very simple deep learning network for image classification which comprises only the very basic data processing components: cascaded principal component a…
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images
Kui Jia, Tsung-Han Chan, Zinan Zeng +4
Feature-based object matching is a fundamental problem for many applications in computer vision, such as object recognition, 3D reconstruction, tracking, and motion segmentation. I…