Expansive and competitive learning for vector quantization

Neural Processing Letters

Volumn 15, Issue 3, 2002, Pages 261-273

  Munoz Perez J ^a   Gomez Ruiz, J A ^a   Lopez Rubio, E ^a   Garcia Bernal, M A ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

Competitive learning; Global search; Image compression; Neural networks; Vector quantization

Indexed keywords

ALGORITHMS; BLOCK CODES; IMAGE CODING; NEURAL NETWORKS; VECTOR QUANTIZATION;

COMPETITIVE LEARNING;

LEARNING SYSTEMS;

EID: 0036608409     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1015785501885     Document Type: Article

References (15)

1. Vector quantization
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5. Generalized clustering networks and Kohonen's self-organizing scheme
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7. A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers
8. Color image segmentation using competitive learning
9. A self-organizing network for hyperellipsoidal clustering (HEC)
10. Self-organizing map with time-invariant learning rate and its exponential stability analysis
11. Multiple local optima in vector quantizers