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Volumn 1, Issue , 2003, Pages 376-383

Visual Learning by Evolutionary Feature Synthesis

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DATA ACQUISITION; EVOLUTIONARY ALGORITHMS; IMAGE PROCESSING; OPTIMIZATION; PATTERN RECOGNITION; PROBLEM SOLVING; SOFTWARE ENGINEERING; SYNTHESIS (CHEMICAL); VISUAL COMMUNICATION;

EID: 1942452413     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (21)
  • 5
    • 1942515128 scopus 로고
    • Master's Thesis, Massachusetts Institute of Technology
    • Johnson, M.P. (1995). Evolving visual routines. Master's Thesis, Massachusetts Institute of Technology.
    • (1995) Evolving Visual Routines
    • Johnson, M.P.1
  • 6
    • 1942483027 scopus 로고    scopus 로고
    • Pairwise comparison of hypotheses in evolutionary learning
    • C.E. Brodley, & A. Pohoreckyj Danyluk (Eds.). San Francisco: Morgan Kaufmann
    • Krawiec, K. (2001). Pairwise comparison of hypotheses in evolutionary learning. In: C.E. Brodley, & A. Pohoreckyj Danyluk (Eds.), Proceedings of the Eighteenth International Conference on Machine Learning. San Francisco: Morgan Kaufmann, 266-273.
    • (2001) Proceedings of the Eighteenth International Conference on Machine Learning , pp. 266-273
    • Krawiec, K.1
  • 12
    • 0032136860 scopus 로고    scopus 로고
    • Delayed Reinforcement Learning for Adaptive Image Segmentation and Feature Extraction
    • August 1998
    • Peng, J. & Bhanu, B. (1998b). Delayed Reinforcement Learning for Adaptive Image Segmentation and Feature Extraction. IEEE Transactions on Systems, Man and Cybernetics, 28, 482-488, August 1998.
    • (1998) IEEE Transactions on Systems, Man and Cybernetics, , vol.28 , pp. 482-488
    • Peng, J.1    Bhanu, B.2
  • 14
    • 0034153728 scopus 로고    scopus 로고
    • Cooperative coevolution: An architecture for evolving coadapted subcomponents
    • Potter, M.A. & De Jong, K.A. (2000). Cooperative coevolution: an architecture for evolving coadapted subcomponents. Evolutionary Computation, 8, 1-29.
    • (2000) Evolutionary Computation , vol.8 , pp. 1-29
    • Potter, M.A.1    De Jong, K.A.2
  • 17
    • 0042468635 scopus 로고
    • GEST: A learning computer vision system that recognizes hand gestures
    • R.S. Michalski, & G. Tecuci (Eds.). San Francisco: Morgan Kaufmann
    • Segen, J. (1994). GEST: A learning computer vision system that recognizes hand gestures. In R.S. Michalski, & G. Tecuci (Eds.), Machine learning. A Multistrategy Approach. Volume IV. San Francisco: Morgan Kaufmann, 621-634.
    • (1994) Machine Learning. A Multistrategy Approach , vol.4 , pp. 621-634
    • Segen, J.1
  • 18
    • 84955615376 scopus 로고
    • A controlled experiment: Evolution for learning difficult image classification
    • Teller, A. & Veloso, M. (1995). A controlled experiment: evolution for learning difficult image classification. Lecture Notes in Computer Science, Vol. 990, 165-185.
    • (1995) Lecture Notes in Computer Science , vol.990 , pp. 165-185
    • Teller, A.1    Veloso, M.2
  • 19
    • 0013401736 scopus 로고    scopus 로고
    • An empirical analysis of collaboration methods in cooperative coevolutionary algorithms
    • San Francisco: Morgan Kaufmann
    • Wiegand, R.P., Lues, W.C., & De Jong, K.A. (2001). An empirical analysis of collaboration methods in cooperative coevolutionary algorithms. Proceedings of Genetic and Evolutionary Computation Conference, San Francisco: Morgan Kaufmann, 1235-1242.
    • (2001) Proceedings of Genetic and Evolutionary Computation Conference , pp. 1235-1242
    • Wiegand, R.P.1    Lues, W.C.2    De Jong, K.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.