Links between PPCA and subspace methods for complete Gaussian density estimation

IEEE Transactions on Neural Networks

Volumn 17, Issue 3, 2006, Pages 789-792

  Wang, Chong ^a   Wang, Wenyuan ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Complete Gaussian density estimation; Eigenspace decomposition; Probabilistic principal component analysis (PPCA); Subspace method

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; ESTIMATION; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS; STATE SPACE METHODS;

COVARIANCE MATRIX; EIGENSPACE DECOMPOSITION; GAUSSIAN DENSITY ESTIMATION; PROBABILISTIC PRINCIPAL COMPONENT ANALYSIS; SUBSPACE METHOD;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; INFORMATION RETRIEVAL; LETTER; METHODOLOGY; NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL MODEL; SYSTEMS THEORY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; SYSTEMS THEORY;

EID: 33646501392     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chaos.2005.04.052     Document Type: Article

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