TAPCA: Time adaptive self-organizing maps for adaptive principal components analysis

IEEE International Conference on Image Processing

Volumn 1, Issue , 2001, Pages 509-512

  Shah Hosseini, H ^a   Safabakhsh, R ^a  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; CORRELATION METHODS; EIGENVALUES AND EIGENFUNCTIONS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; SELF ORGANIZING MAPS; TIME DOMAIN ANALYSIS;

ADAPTIVE PRINCIPAL COMPONENT ANALYSIS; CORRELATION MATRIX; EIGENDECOMPOSITION METHOD; GENERALIZED HEBBIAN ALGORITHM; TIME ADAPTIVE SELF ORGANIZING MAPS;

IMAGE ANALYSIS;

EID: 0035159564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Skew detection via principal component analysis
2. Multiresolution using principal component analysis
3. TASOM: The time adaptive self-organizing map
4. Algorithms for accelerated convergence of adaptive PCA
5. Self-organized formation of topologically correct feature maps
6. The time adaptive self-organizing map with neighborhood functions for bilevel thresholding
7. Pattern classification by the time adaptive self-organizing map
8. The time adaptive self-organizing map with neighborhood functions for input space approximation
9. Automatic adjustment of learning rates of the self-organizing feature map
10. A learning rule modification in the self-organizing feature map algorithm
11. Optimal unsupervised learning in a single-layer linear feedforward neural network
12. Self-organization as an iterative kernel smoothing process