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Volumn 28, Issue 3, 1998, Pages 482-488

Delayed reinforcement learning for adaptive image segmentation and feature extraction

Author keywords

Adaptive feature extraction; Adaptive image segmentation; Learning for multilevel vision; Learning in computer vision; Modelbased recognition; Multiscenario object recognition; Recognition feedback

Indexed keywords

ALGORITHMS; CLOSED LOOP CONTROL SYSTEMS; FEATURE EXTRACTION; FEEDBACK CONTROL; IMAGE QUALITY; IMAGE SEGMENTATION; LEARNING SYSTEMS; OBJECT RECOGNITION; ROBUSTNESS (CONTROL SYSTEMS);

EID: 0032136860     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/5326.704593     Document Type: Article
Times cited : (26)

References (13)
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    • Ullmann, J.R.1
  • 3
    • 0030164436 scopus 로고    scopus 로고
    • Generic object recognition using multiple representations
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    • Image Vision Comput.
    • Das, S.1    Bhanu, B.2    Ho, C.C.3
  • 6
    • 0018106897 scopus 로고    scopus 로고
    • Picture segmentation using a recursive region splitting method
    • vol. 8, pp. 313-333, 1978.
    • R. Ohlander, K. Price, and D. R. Reddy, Picture segmentation using a recursive region splitting method, Comput. Graph. Image Processing, vol. 8, pp. 313-333, 1978.
    • Comput. Graph. Image Processing
    • Ohlander, R.1    Price, K.2    Reddy, D.R.3
  • 7
    • 0023524741 scopus 로고    scopus 로고
    • Recognition of occluded objects: A clusterstructure algorithm
    • vol. 20, no. 2, pp. 199-211, 1987.
    • B. Bhanu and J. Ming, Recognition of occluded objects: A clusterstructure algorithm, Pattern Recognit., vol. 20, no. 2, pp. 199-211, 1987.
    • Pattern Recognit.
    • Bhanu, B.1    Ming, J.2
  • 8
    • 33847202724 scopus 로고    scopus 로고
    • Learning to predict by the methods of temporal differences
    • vol. 3, pp. 9-44, 1988.
    • R. S. Sutton, Learning to predict by the methods of temporal differences, Mach. Learn., vol. 3, pp. 9-44, 1988.
    • Mach. Learn.
    • Sutton, R.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.