Border-sensitive learning in kernelized learning vector quantization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7902 LNCS, Issue PART 1, 2013, Pages 357-366

  Kästner, Marika ^a   Riedel, Martin ^a   Strickert, Marc ^b   Hermann, Wieland ^c   Villmann, Thomas ^a  

^a UNIVERSITY OF APPLIED SCIENCES MITTWEIDA   (Germany)

^b PHILIPPS UNIVERSITY MARBURG   (Germany)

^c Department of Neurology Paracelsus Hospital Zwickau   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE MAPPING; HEBBIAN LEARNING; KERNEL DISTANCE; LEARNING VECTOR QUANTIZATION; PROTOTYPE-BASED CLASSIFICATIONS; SUPPORT VECTOR MACHINE (SVMS); VECTORIAL DATA; WILSON'S DISEASE;

NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

VECTOR QUANTIZATION;

EID: 84880077984     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38679-4_35     Document Type: Conference Paper

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