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Efficient Kernelized Prototype Based Classification
FM Schleif, T Villmann, B Hammer, Petra Schneider
Research output
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Contribution to journal
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Article
28
Citations (Scopus)
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Dive into the research topics of 'Efficient Kernelized Prototype Based Classification'. Together they form a unique fingerprint.
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Computer Science
Learning Algorithm
100%
Experimental Result
100%
Vector Quantization
100%
Supervised Learning
100%
Large Data Set
100%
Sparsity
100%
Classification Problem
100%
Support Vector Machine
100%
Generalization Error
100%
Multiple Domain
100%
Distance Measure
100%
Approximation Technique
100%
Learning Complexity
100%
Euclidean Distance
100%
Keyphrases
Prototype-based Classification
100%
Prototype-based Classifiers
100%
Discrimination Power
33%
Classification Problem
33%
Multiple Domains
33%
Effective Algorithm
33%
Euclidean Distance Measure
33%
Supervised Learning Algorithms
33%
Extended Approach
33%
Approximation Techniques
33%
Prototype Concepts
33%
Generalization Error Bound
33%
Learning Complexity
33%
Sparsity Technique
33%
Generalized Matrix Learning Vector Quantization (GMLVQ)
33%