A fast recognition framework based on extreme learning machine using hybrid object information

Neurocomputing

Volumn 73, Issue 10-12, 2010, Pages 1831-1839

  Minhas, Rashid ^a   Mohammed, Abdul Adeel ^a   Jonathan Wu, Q M ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Extreme learning machine; Ferns; Object classification; Object recognition; Two dimensional PCA

Indexed keywords

DATA SETS; EXTREME LEARNING MACHINE; FAST RECOGNITION; FERNS; IMAGE REPRESENTATIONS; LEARNING SPEED; LOCAL INFORMATION; LOCAL OBJECT; OBJECT CLASSIFICATION; OBJECT INFORMATION; RELIABLE RECOGNITION; TRAINING AND TESTING; TWO-DIMENSIONAL PCA;

NEURAL NETWORKS; OBJECT RECOGNITION; TWO DIMENSIONAL;

LEARNING SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONCEPTUAL FRAMEWORK; DISCRIMINANT ANALYSIS; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; METHODOLOGY; PRIORITY JOURNAL; RECOGNITION; RELIABILITY; VALIDITY;

EID: 77952547242     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.11.049     Document Type: Article

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