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Volumn , Issue , 2009, Pages 451-460

Learning distance metric for regression by semidefinite programming with application to human age estimation

Author keywords

Human age estimation; kNN regression; Metric learning; Semidefinite programming

Indexed keywords

CLASSIFICATION AND CLUSTERING; COMPUTATIONAL COSTS; DISTANCE METRICS; EUCLIDEAN METRICS; GUIDING PRINCIPLES; HIGH LEVEL SEMANTICS; HUMAN AGE ESTIMATION; INPUT DATAS; K-NEAREST NEIGHBORS; LINEAR TRANSFORMATION; LOW-LEVEL FEATURES; MACHINE LEARNING APPLICATIONS; METRIC LEARNING; REGRESSION METHOD; REGRESSION PROBLEM; SEMANTIC SIMILARITY; SEMANTIC STRUCTURES; SEMI-DEFINITE PROGRAMMING; TRAINING DATA;

EID: 72449148708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631334     Document Type: Conference Paper
Times cited : (67)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.