2.3k citations · 4.3k across the 64 of their papers we have counts for
3 papers · 1 filter
Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features
Liansheng Zhuang, Shenghua Gao, Jinhui Tang +3
This paper aims at constructing a good graph for discovering intrinsic data structures in a semi-supervised learning setting. Firstly, we propose to build a non-negative low-rank a…
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…