Learning of variability for invariant statistical pattern recognition

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

Volumn 2167, Issue , 2001, Pages 263-275

  Keysers, Daniel ^a   Macherey, Wolfgang ^a   Dahmen, Jörg ^a   Ney, Hermann ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; CLUSTER ANALYSIS; LEARNING ALGORITHMS; MACHINE LEARNING; MAXIMUM LIKELIHOOD ESTIMATION; OBJECT RECOGNITION;

AFFINE TRANSFORMATIONS; AUTOMATIC SPEECH RECOGNITION; HANDWRITTEN DIGIT RECOGNITION; IMAGE OBJECT RECOGNITION; PROBABILISTIC INTERPRETATION; PROBABILISTIC MODELING; STATISTICAL PATTERN RECOGNITION; VARIATIONAL DERIVATIVE;

SPEECH RECOGNITION;

EID: 84948180960     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44795-4_23     Document Type: Conference Paper

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