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검색어 : 통합검색[Visual learning.]

80,226건 중 1,000건 출력

, 6/100 페이지

  • 51
    Regional deep learning model for visual tracking
    Wu, G.; Lu, W.; Gao, G.; Zhao, C.; Liu, J.; ; (Neurocomputing, v.175, 2016, pp.310-323)
  • 52
    Visual association learning induces global network reorganization
    Yu, Mengxia; Li, Xueting; Song, Yiying; Liu, Jia; Bilingual Cognition and Development Lab, Center for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies; Department of Psychology, Renmin University of China; Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University; Department of Psychology & Tsinghua Laboratory of Brain and Intelligence, Tsinghua University; (Neuropsychologia, v.154, 2021, pp.107789)
  • 53
    Visual landmark learning
    Bianco, G.; Zelinsky, A.; Lehrer, M.; ; (Intelligent Robots and Systems, 2000. (IROS 2000). Proceedings. 2000 IEEE/RSJ International Conference on, v.2000, 2000, pp.227-232)
  • 54
    Learning Visual Ideals
    Burge, M.; Burger, W.; ; (Lecture notes in computer science, v.1333, 1997, pp.464-472)
  • 55
    Learning visual features under motion invariance
    Betti, Alessandro; Gori, Marco; Melacci, Stefano; Corresponding author at: .; (Neural networks : the official journal of the International Neural Network Society, v.126, 2020, pp.275-299)
  • 56
    Visual modelling of learning processes
    Copperman, Elana; Beeri, Catriel; Ben-Zvi, Nava; Jerusalem College, Israel; Hebrew University, Israel; Hadassah College and Hebrew University, Israel; (Innovations in education and teaching international, v.44, 2007, pp.257-272)
  • 57
    Time Varying Metric Learning for visual tracking
    Li, J.; Zhao, B.; Deng, C.; Xu, R.Y.D.; ; (Pattern recognition letters, v.80, 2016, pp.157-164)
  • 58
    Visual Human+Machine Learning
    Fuchs, R.; Waser, J.; Groller, M.E.; ETH Zurich, Zurich, Switzerland; VRVis Vienna, Vienna, Austria; Tech. Univ. Vienna, Vienna, Austria; (IEEE transactions on visualization and computer graphics, v.15, 2009, pp.1327-1334)
  • 59
    Learning saliency-based visual attention: A review
    Zhao, Q.; Koch, C.; ; (Signal processing : the official publication of the European Association for Signal Processing (EURASIP), v.93, 2013, pp.1401-1407)
  • 60
    Transfer Learning for Visual Categorization: A Survey
    Ling Shao; Fan Zhu; Xuelong Li; Coll. of Electron. & Inf. Eng., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China; Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK; Center for Opt. IMagery Anal. & Learning, Xi'an Inst. of Opt. & Precision Mech., Xi'an, China; (IEEE transactions on neural networks and learning systems, v.26, 2015, pp.1019-1034)

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