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Volumn , Issue , 2005, Pages 642-648

Attention Architectures for Machine Vision and Mobile Robots

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EID: 31844431800     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012375731-9/50109-9     Document Type: Chapter
Times cited : (13)

References (35)
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    • Visual perceptual categories for reaching and grasping with a humanoid robot
    • Santa Margherita Ligure
    • J. Coelho, J. Piater and R. Grupen (2001) Visual perceptual categories for reaching and grasping with a humanoid robot. Robotics Autonomous Syst. 37 Santa Margherita Ligure 195-219.
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    • Coelho, J.1    Piater, J.2    Grupen, R.3
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    • Saliency maps and attention selection scale and spatial coordinates: An information theoretic approach
    • Oxford: IEEE, Boston, MA
    • M. Jagersand (1995) Saliency maps and attention selection scale and spatial coordinates: An information theoretic approach. Proceedings of the International Conference on Computer Vision Oxford: IEEE 195-202. Boston, MA
    • (1995) Proceedings of the International Conference on Computer Vision , pp. 195-202
    • Jagersand, M.1
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    • 9444282076 scopus 로고    scopus 로고
    • Anticipatory saccades in sequential procedural learning monkeys
    • K. Miyashita, R. Kato, S. Miyauchi and O. Hikosaka (1996) Anticipatory saccades in sequential procedural learning monkeys. J. Neurophysiol. 76 1361-1365.
    • (1996) J. Neurophysiol. , vol.76 , pp. 1361-1365
    • Miyashita, K.1    Kato, R.2    Miyauchi, S.3    Hikosaka, O.4
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    • Contextual cueing for spatial attention in object detection from video
    • Tübingen, Germany, Springer: Joanneum Research
    • G. Ogris and L. Paletta (2003) Contextual cueing for spatial attention in object detection from video. Proceedings of the Workshop on Attention and Performance in Computer Vision Tübingen, Germany, Springer: Joanneum Research 64-72.
    • (2003) Proceedings of the Workshop on Attention and Performance in Computer Vision , pp. 64-72
    • Ogris, G.1    Paletta, L.2
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    • Active object recognition by view integration and reinforcement learning
    • L. Paletta and A. Pinz (2000) Active object recognition by view integration and reinforcement learning. Robotics Autonomous Syst. 31 71-86.
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    • Paletta, L.1    Pinz, A.2
  • 28
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    • Control of selective perception using bayes nets and decision theory
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    • R.D. Rimey (1993) Control of selective perception using bayes nets and decision theory. Technical Report TR468 Computer Science Department, University of Rochester
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    • Rimey, R.D.1
  • 31
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    • A feature integration theory of attention
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    • (1980) Cogn. Psychol. , vol.12 , pp. 97-136
    • Treisman, A.1    Gelade, G.2
  • 35
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    • Visual attention
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.