A new approximation method of the quadratic discriminant function

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

Volumn 1876 LNCS, Issue , 2000, Pages 601-610

  Omachi, Shin'ichiro ^a   Sun, Fang ^b   Aso, Hirotomo ^a  

^a TOHOKU UNIVERSITY   (Japan)

^b TOHOKU BUNKA GAKUEN UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COVARIANCE MATRIX; EIGENVALUES AND EIGENFUNCTIONS; MAXIMUM LIKELIHOOD ESTIMATION; NORMAL DISTRIBUTION; PROBABILITY DENSITY FUNCTION; MAXIMUM LIKELIHOOD; PROBABILITY DISTRIBUTIONS;

APPROXIMATION METHODS; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; COMPUTATIONAL COSTS; DIMENSIONAL VECTORS; MULTI-VARIATE NORMAL DISTRIBUTIONS; QUADRATIC DISCRIMINANTS; STATISTICAL PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 23044523667     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44522-6_62     Document Type: Conference Paper

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