238 citations · 245 across the 5 of their papers we have counts for
5 papers · 1 filter
Optimized Projection for Sparse Representation Based Classification
Can-Yi Lu, De-Shuang Huang
Dimensionality reduction (DR) methods have been commonly used as a principled way to understand the high-dimensional data such as facial images. In this paper, we propose a new sup…
Correntropy Induced L2 Graph for Robust Subspace Clustering
Canyi Lu, Jinhui Tang, Min Lin +3
In this paper, we study the robust subspace clustering problem, which aims to cluster the given possibly noisy data points into their underlying subspaces. A large pool of previous…
Correlation Adaptive Subspace Segmentation by Trace Lasso
Canyi Lu, Jiashi Feng, Zhouchen Lin +1
This paper studies the subspace segmentation problem. Given a set of data points drawn from a union of subspaces, the goal is to partition them into their underlying subspaces they…
Robust and Efficient Subspace Segmentation via Least Squares Regression
Can-Yi Lu, Hai Min, Zhong-Qiu Zhao +3
This paper studies the subspace segmentation problem which aims to segment data drawn from a union of multiple linear subspaces. Recent works by using sparse representation, low ra…
Robust Face Recognition via Adaptive Sparse Representation
Jing Wang, Canyi Lu, Meng Wang +3
Sparse Representation (or coding) based Classification (SRC) has gained great success in face recognition in recent years. However, SRC emphasizes the sparsity too much and overloo…