A PCA mixture model with an efficient model selection method

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2001, Pages 430-435

  Kim, H C ^a   Kim, D ^a   Bang, S Y ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION;

DATA DISTRIBUTION; EFFICIENT MODEL SELECTION METHOD; MIXTURE MODEL; OPTIMAL METHOD;

PRINCIPAL COMPONENT ANALYSIS;

EID: 0034850395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Adaptive mixtures of local experts
2. Hierarchical mixtures of experts and the EM algorithm
3. Analysis of a complex statistical variables into principal components
4. Maximum likelihood from incomplete data via the EM algorithm
5. Modeling the manifolds of images of handwritten digits
6. Mixtures of probabilistic principal component analyzers
7. A numeral character recognition using the PCA mixture model
8. Probabilistic modeling of local appearance and spatial relationships for object recognition