Active Self-Paced Learning for Cost-Effective and Progressive Face Identification

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 40, Issue 1, 2018, Pages 7-19

  Lin, Liang ^a,b   Wang, Keze ^a,b   Meng, Deyu ^c   Zuo, Wangmeng ^d   Zhang, Lei ^e  

^a SUN YAT SEN UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c XI'AN JIAOTONG UNIVERSITY   (China)

^d HARBIN INSTITUTE OF TECHNOLOGY   (China)

^e HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

active learning; Cost effective model; face identification; incremental processing; self paced learning

Indexed keywords

COMPUTER VISION; COST EFFECTIVENESS; FACE RECOGNITION; LEARNING SYSTEMS;

'CURRENT; ACTIVE LEARNING; COST EFFECTIVE; COST-EFFECTIVE MODEL; FACE IDENTIFICATION; FACE IMAGES; IMAGE FEATURES; INCREMENTAL PROCESSING; RECERTIFICATION; SELF-PACED LEARNING;

NEURAL NETWORKS;

ALGORITHM; ANATOMY AND HISTOLOGY; BIOMETRY; COST BENEFIT ANALYSIS; ECONOMICS; FACE; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; PROCEDURES; SUPERVISED MACHINE LEARNING;

ALGORITHMS; BIOMETRIC IDENTIFICATION; COST-BENEFIT ANALYSIS; DATABASES, FACTUAL; FACE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; SUPERVISED MACHINE LEARNING;

EID: 85058726335     PISSN: 01628828     EISSN: 19393539     Source Type: Journal    
DOI: 10.1109/TPAMI.2017.2652459     Document Type: Article

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