Fusion Tensor Subspace Transformation Framework

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	Fusion Tensor Subspace Transformation Framework
	Wang, Su-Jing 1,2,3; Zhou, Chun-Guang 2; Fu, Xiaolan1
刊名	PLOS ONE
	2013
卷号	8 期号:7
ISSN号	1932-6203
通讯作者	Wang, SJ (reprint author), Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China.
产权排序	1
英文摘要	Tensor subspace transformation, a commonly used subspace transformation technique, has gained more and more popularity over the past few years because many objects in the real world can be naturally represented as multidimensional arrays, i.e. tensors. For example, a RGB facial image can be represented as a three-dimensional array (or 3rd-order tensor). The first two dimensionalities (or modes) represent the facial spatial information and the third dimensionality (or mode) represents the color space information. Each mode of the tensor may express a different semantic meaning. Thus different transformation strategies should be applied to different modes of the tensor according to their semantic meanings to obtain the best performance. To the best of our knowledge, there are no existing tensor subspace transformation algorithm which implements different transformation strategies on different modes of a tensor accordingly. In this paper, we propose a fusion tensor subspace transformation framework, a novel idea where different transformation strategies are implemented on separate modes of a tensor. Under the framework, we propose the Fusion Tensor Color Space (FTCS) model for face recognition.
学科主题	Cognitive neuroscience
WOS标题词	Science & Technology
类目[WOS]	Multidisciplinary Sciences
研究领域[WOS]	Science & Technology - Other Topics
关键词[WOS]	LOCALITY PRESERVING PROJECTIONS ; FACE RECOGNITION ; DISCRIMINANT-ANALYSIS ; COMPONENT ANALYSIS ; EIGENFACES ; PCA
收录类别	SCI
项目简介	This work was supported in part by grants from 973 Program (2011CB302201), the National Natural Science Foundation of China (61075042, 61175023), China Postdoctoral Science Foundation funded project (2012M520428) and the open project program (93K172013K04) of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
原文出处	http://fp5hj6fw9s.search.serialssolutions.com/?ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info:sid/summon.serialssolutions.com&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fusion+tensor+subspace+transformation+framework&rft.jtitle=PloS+one&rft.au=Wang%2C+Su-Jing&rft.au=Zhou%2C+Chun-Guang&rft.au=Fu%2C+Xiaolan&rft.date=2013&rft.eissn=1932-6203&rft.volume=8&rft.issue=7&rft.spage=e66647&rft_id=info:pmid/23840864&rft.externalDocID=23840864¶mdict=en-US
语种	英语
WOS记录号	WOS:000321271900003
内容类型	期刊论文
源URL	[http://ir.psych.ac.cn/handle/311026/10817]
专题	心理研究所_脑与认知科学国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China 2.Jilin Univ, Coll Comp Sci & Technol, Changchun 130023, Jilin, Peoples R China 3.Jilin Univ, Minist Educ, Key Lab Symbol Computat & Knowledge Engn, Changchun 130023, Jilin, Peoples R China
推荐引用方式 GB/T 7714	Wang, Su-Jing,Zhou, Chun-Guang,Fu, Xiaolan. Fusion Tensor Subspace Transformation Framework[J]. PLOS ONE,2013,8(7).
APA	Wang, Su-Jing,Zhou, Chun-Guang,&Fu, Xiaolan.(2013).Fusion Tensor Subspace Transformation Framework.PLOS ONE,8(7).
MLA	Wang, Su-Jing,et al."Fusion Tensor Subspace Transformation Framework".PLOS ONE 8.7(2013).