A two-step framework for highly nonlinear data unfolding

Neurocomputing

Volumn 73, Issue 10-12, 2010, Pages 1801-1807

  Sun, Mingming ^a   Liu, ChuanCai ^a   Yang, Jian ^a   Jin, Zhong ^a   Yang, Jingyu ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Dimensional reduction; Distance Penalization Embedding; Manifold learning; Semi supervised learning

Indexed keywords

DATA SETS; DIMENSIONAL REDUCTION; GLOBAL STRUCTURE; HIGHLY NONLINEAR; LOCAL INFORMATION; LOCAL STRUCTURE; MANIFOLD LEARNING; MANIFOLD LEARNING ALGORITHM; REAL WORLD DATA; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING;

SUPERVISED LEARNING;

LEARNING ALGORITHMS;

ALGORITHM; ARTICLE; CONCEPTUAL FRAMEWORK; DISTANCE PENALIZATION EMBEDDING; INFORMATION PROCESSING; LEARNING; MACHINE LEARNING; MATHEMATICAL ANALYSIS; NONLINEAR SYSTEM; PRIORITY JOURNAL;

EID: 77952549496     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.11.047     Document Type: Article

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