Search Results for author: Shijie Xiao

Found 6 papers, 0 papers with code

Deep Sparse Subspace Clustering

no code implementations25 Sep 2017 Xi Peng, Jiashi Feng, Shijie Xiao, Jiwen Lu, Zhang Yi, Shuicheng Yan

In this paper, we present a deep extension of Sparse Subspace Clustering, termed Deep Sparse Subspace Clustering (DSSC).

FaLRR: A Fast Low Rank Representation Solver

no code implementations CVPR 2015 Shijie Xiao, Wen Li, Dong Xu, DaCheng Tao

In this paper, we develop a fast LRR solver called FaLRR, by reformulating LRR as a new optimization problem with regard to factorized data (which is obtained by skinny SVD of the original data matrix).

Face Clustering

Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient

no code implementations10 Mar 2015 Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton Van Den Hengel, Qinfeng Shi

Nuclear-norm regularization plays a vital role in many learning tasks, such as low-rank matrix recovery (MR), and low-rank representation (LRR).

Matrix Completion

A Unified Framework for Representation-based Subspace Clustering of Out-of-sample and Large-scale Data

no code implementations25 Sep 2013 Xi Peng, Huajin Tang, Lei Zhang, Zhang Yi, Shijie Xiao

In this paper, we propose a unified framework which makes representation-based subspace clustering algorithms feasible to cluster both out-of-sample and large-scale data.

Learning by Associating Ambiguously Labeled Images

no code implementations CVPR 2013 Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, Yi Ma

Our framework is motivated by the observation that samples from the same class repetitively appear in the collection of ambiguously labeled training images, while they are just ambiguously labeled in each image.

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