Search Results for author: Can-Yi Lu

Found 6 papers, 1 papers with code

Accelerated Randomized Mirror Descent Algorithms For Composite Non-strongly Convex Optimization

no code implementations23 May 2016 Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Can-Yi Lu, Jiashi Feng

Avoiding this devise, we propose an accelerated randomized mirror descent method for solving this problem without the strongly convex assumption.

Adaptive Nonparametric Image Parsing

no code implementations7 May 2015 Tam V. Nguyen, Can-Yi Lu, Jose Sepulveda, Shuicheng Yan

Instead of fixing $k$ as in traditional non-parametric approaches, here we propose a novel adaptive nonparametric approach which determines the sample-specific k for each test image.


Connections Between Nuclear Norm and Frobenius Norm Based Representations

no code implementations26 Feb 2015 Xi Peng, Can-Yi Lu, Zhang Yi, Huajin Tang

A lot of works have shown that frobenius-norm based representation (FNR) is competitive to sparse representation and nuclear-norm based representation (NNR) in numerous tasks such as subspace clustering.


Optimized Projection for Sparse Representation Based Classification

no code implementations31 Jan 2015 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.

Classification Dimensionality Reduction +3

Robust and Efficient Subspace Segmentation via Least Squares Regression

1 code implementation27 Apr 2014 Can-Yi Lu, Hai Min, Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan

If the subspaces from which the data drawn are independent or orthogonal, they are able to obtain a block diagonal affinity matrix, which usually leads to a correct segmentation.

regression Segmentation

Robust Face Recognition via Adaptive Sparse Representation

no code implementations18 Apr 2014 Jing Wang, Can-Yi Lu, Meng Wang, Pei-Pei Li, Shuicheng Yan, Xuegang Hu

Sparse Representation (or coding) based Classification (SRC) has gained great success in face recognition in recent years.

Face Recognition General Classification +2

Cannot find the paper you are looking for? You can Submit a new open access paper.