Learning Vector Quantization for Multimodal Data

Barbara Hammer; Marc Strickert; Thomas Villmann

doi:10.1007/3-540-46084-5_60

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Learning Vector Quantization for Multimodal Data

Barbara Hammer Marc Strickert Thomas Villmann

Year: 2002 Lecture notes in computer science Pages: 370-376 Publisher: Springer Science+Business Media

DOI: 10.1007/3-540-46084-5_60

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Keywords:

Learning vector quantization Computer science Vector quantization Initialization Cluster analysis Gradient descent Artificial intelligence Linde–Buzo–Gray algorithm Relevance (law) Self-organizing map Metric (unit) Relevance feedback Machine learning Neural gas Artificial neural network Quantization (signal processing) Pattern recognition (psychology) Algorithm Image retrieval Recurrent neural network

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Learning Vector Quantization for Multimodal Data

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