Active learning for solving the incomplete data problem in facial age classification by the furthest nearest-neighbor criterion

IEEE Transactions on Image Processing

Volumn 20, Issue 7, 2011, Pages 2049-2062

  Wang, Jian Gang ^a   Sung, Eric ^b   Yau, Wei Yun ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Active learning; age estimation; furthest nearest neighbor; incomplete data problem

Indexed keywords

ACTIVE LEARNING; ACTIVE-LEARNING ALGORITHM; AGE CATEGORIZATION; AGE CLASSIFICATION; AGE ESTIMATION; AGE GROUPS; CLASSIFICATION PERFORMANCE; DATA SELECTION; EMPIRICAL EXPERIMENTS; FACE IMAGES; FURTHEST NEAREST NEIGHBOR; GROUND TRUTH; INCOMPLETE DATA; KERNEL METHODS; LABELED DATA; LABELED TRAINING DATA; LARGE DATA; LEARNING TECHNIQUES; LINEAR DISCRIMINANT ANALYSIS; MULTI-CLASS; NEAREST-NEIGHBORS; PALMPRINTS; RANDOM SELECTION; TRAINING DATA; TWO-DIMENSION; UNLABELED DATA;

DATA REDUCTION; DATABASE SYSTEMS; DISCRIMINANT ANALYSIS; LAKES; LEARNING ALGORITHMS;

FACE RECOGNITION;

ADOLESCENT; ADULT; AGE; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOMETRY; CHILD; CLUSTER ANALYSIS; DISCRIMINANT ANALYSIS; FACE; FACTUAL DATABASE; HISTOLOGY; HUMAN; INFANT; METHODOLOGY; MIDDLE AGED; PRESCHOOL CHILD;

ADOLESCENT; ADULT; AGE FACTORS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRIC IDENTIFICATION; CHILD; CHILD, PRESCHOOL; CLUSTER ANALYSIS; DATABASES, FACTUAL; DISCRIMINANT ANALYSIS; FACE; HUMANS; INFANT; MIDDLE AGED;

EID: 79959582478     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2106794     Document Type: Article

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