Salient object detection using learning classifier systems that compute action mappings

GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference

Volumn , Issue , 2014, Pages 525-532

  Iqbal, Muhammad ^a   Naqvi, Syed Saud ^a   Browne, Will N ^a   Hollitt, Christopher ^a   Zhang, Mengjie ^a  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

Author keywords

Genetic algorithms; Learning classifier systems; Object detection; Pattern recognition; Saliency; XCS

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTER CONTROL SYSTEMS; DATA MINING; GENETIC ALGORITHMS; IMAGE SEGMENTATION; MACHINE LEARNING; OBJECT RECOGNITION; OBJECT TRACKING; ONLINE SYSTEMS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; STATISTICAL TESTS;

BACKGROUND INFORMATION; COMPUTER VISION SYSTEM; GENETIC-ALGORITHM BASED SYSTEMS; LEARNING CLASSIFIER SYSTEM; MACHINE LEARNING APPLICATIONS; MACHINE LEARNING TECHNIQUES; SALIENCY; SALIENT OBJECT DETECTION;

OBJECT DETECTION;

EID: 84905674543     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2576768.2598371     Document Type: Conference Paper

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