QQ客服 官方微博 反馈留言

浏览/检索结果: 共10条，第1-10条 帮助 限定条件 专题：北京大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Integrated Low-Rank-Based Discriminative Feature Learning for Recognition 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016 Zhou, Pan; Lin, Zhouchen; Zhang, Chao 收藏  |  浏览/下载：6/0  |  提交时间：2017/12/03 Feature learning  low-rank representation (LRR)  recognition  robust principal component analysis (PCA)  ROBUST FACE RECOGNITION  SPARSE REPRESENTATION  IMAGE CLASSIFICATION  K-SVD  ILLUMINATION  CATEGORIES  RECOVERY  SCENE  POSE   Tensor Robust Principal Component analysis: Exact recovery of corrupted low-rank tensors via convex optimization 其他 2016-01-01 Lu, Canyi; Feng, Jiashi; Chen, Yudong; Liu, Wei; Lin, Zhouchen; Yan, Shuicheng 收藏  |  浏览/下载：3/0  |  提交时间：2017/12/03 Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization 其他 2016-01-01 Lu, Canyi; Feng, Jiashi; Chen, Yudong; Liu, Wei; Lin, Zhouchen; Yan, Shuicheng 收藏  |  浏览/下载：4/0  |  提交时间：2017/12/03 3RD-ORDER TENSORS  REGULARIZATION  FACTORIZATION  FRAMEWORK  MODELS   Completing Low-Rank Matrices With Corrupted Samples From Few Coefficients in General Basis 期刊论文 IEEE TRANSACTIONS ON INFORMATION THEORY, 2016 Zhang, Hongyang; Lin, Zhouchen; Zhang, Chao 收藏  |  浏览/下载：6/0  |  提交时间：2017/12/04 Robust matrix completion  general basis  subspace recovery  outlier detection  l(2,1) filtering algorithm  PRINCIPAL COMPONENT ANALYSIS  ROBUST PCA  SEGMENTATION  IDENTIFICATION  REPRESENTATION  FACTORIZATION  COMPRESSION  OBJECTS  IMAGES   Relations Among Some Low-Rank Subspace Recovery Models 期刊论文 NEURAL COMPUTATION, 2015 Zhang, Hongyang; Lin, Zhouchen; Zhang, Chao; Gao, Junbin 收藏  |  浏览/下载：6/0  |  提交时间：2017/12/03 PRINCIPAL COMPONENT ANALYSIS  ROBUST PCA  MATRIX DECOMPOSITION  FACTORIZATION METHOD  MOTION SEGMENTATION  REPRESENTATION  IDENTIFICATION  RECOGNITION  COMPRESSION  FRAMEWORK   Traffic Flow Decomposition and Prediction Based on Robust Principal Component Analysis 其他 2015-01-01 Xing, Xingxing; Zhou, Xiabing; Hong, Haikun; Huang, Wenhao; Bian, Kaigui; Xie, Kunqing 收藏  |  浏览/下载：8/0  |  提交时间：2017/12/03 MODELS   An incremental subspace learning algorithm to categorize large scale text data 其他 2005-01-01 Yan, J; Cheng, QS; Yang, Q; Zhang, BY 收藏  |  浏览/下载：2/0  |  提交时间：2015/11/13 Is two-dimensional PCA a new technique 期刊论文 zidonghua xuebaoacta automatica sinica, 2005 Wang, Li-Wei; Wang, Xiao; Chang, Ming; Feng, Ju-Fu 收藏  |  浏览/下载：4/0  |  提交时间：2015/11/17 An incremental subspace learning algorithm to categorize large scale text data 其他 2005-01-01 Yan, Jun; Cheng, Qiansheng; Yang, Qiang; Zhang, Benyu 收藏  |  浏览/下载：3/0  |  提交时间：2015/11/13 ROBUST PRINCIPAL COMPONENT ANALYSIS BY SELF-ORGANIZING RULES BASED ON STATISTICAL PHYSICS APPROACH 期刊论文 ieee神经网络汇刊, 1995 XU, L; YUILLE, AL 收藏  |  浏览/下载：2/0  |  提交时间：2015/11/16 BASIC NETWORK PRINCIPLES  NEURAL ARCHITECTURE  EMERGENCE  CELLS