Rejection Strategies for Learning Vector Quantization - A Comparison of Probabilistic and Deterministic Approaches

Advances in Intelligent Systems and Computing

Volumn 295, Issue , 2014, Pages 109-118

  Fischer, Lydia ^a,b   Nebel, David ^c   Villmann, Thomas ^c   Hammer, Barbara ^b   Wersing, Heiko ^a  

^a HONDA RESEARCH INSTITUTE EUROPE GMBH   (Germany)

^b BIELEFELD UNIVERSITY   (Germany)

^c UNIVERSITY OF APPLIED SCIENCES MITTWEIDA   (Germany)

Author keywords

classification; prototype based reject option

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONFORMAL MAPPING;

CLASSIFICATION ACCURACY; DETERMINISTIC APPROACH; GAUSSIAN MIXTURE MODEL; LEARNING VECTOR QUANTIZATION; PROBABILISTIC MODELING; PROTOTYPE-BASED CLASSIFICATIONS; PROTOTYPE-BASED CLASSIFIER; PROTOTYPE-BASED REJECT OPTION;

VECTOR QUANTIZATION;

EID: 84903551243     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-07695-9_10     Document Type: Conference Paper

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