Dimensionality reduction and reconstruction of data based on autoencoder network

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology

Volumn 31, Issue 5, 2009, Pages 1189-1192

  Hu, Zhao Hua ^a,b   Song, Yao Liang ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

Author keywords

Autoencoder network; Dimensionality reduction; High dimensional data; Reconstruction

Indexed keywords

AUTOENCODER; AUTOENCODER NETWORK; BI-DIRECTIONAL; CALCULATION METHODS; CURSE OF DIMENSIONALITY; DATA SETS; DATA-DRIVEN; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; HIDDEN LAYERS; HIGH-DIMENSIONAL; HIGH-DIMENSIONAL DATA; HIGH-DIMENSIONAL DATA SPACE; HOTSPOTS; IMAGE DATA; INVERSE MAPPING; LOW-DIMENSIONAL MANIFOLDS; LOW-DIMENSIONAL SPACES; LOW-DIMENSIONAL STRUCTURES; MACHINE-LEARNING; NONLINEAR DIMENSIONALITY REDUCTION; RECONSTRUCTION; RESTRICTED BOLTZMANN MACHINE; SYNTHETIC DATASETS;

INFORMATION MANAGEMENT; MILITARY PHOTOGRAPHY; MINING; NETWORK LAYERS; NONLINEAR ANALYSIS; PATTERN RECOGNITION; RESTORATION;

DATA REDUCTION;

EID: 67649240306     PISSN: 10095896     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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