검색어 : 통합검색[Visual learning.]
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51
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Regional deep learning model for visual tracking
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Wu, G.;
Lu, W.;
Gao, G.;
Zhao, C.;
Liu, J.;
;
(Neurocomputing,
v.175,
2016,
pp.310-323)
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52
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Visual association learning induces global network reorganization
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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)
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53
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Visual landmark learning
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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)
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54
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Learning Visual Ideals
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Burge, M.;
Burger, W.;
;
(Lecture notes in computer science,
v.1333,
1997,
pp.464-472)
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55
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Learning visual features under motion invariance
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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)
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56
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Visual modelling of learning processes
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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)
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57
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Time Varying Metric Learning for visual tracking
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Li, J.;
Zhao, B.;
Deng, C.;
Xu, R.Y.D.;
;
(Pattern recognition letters,
v.80,
2016,
pp.157-164)
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58
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Visual Human+Machine Learning
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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)
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59
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Learning saliency-based visual attention: A review
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Zhao, Q.;
Koch, C.;
;
(Signal processing : the official publication of the European Association for Signal Processing (EURASIP),
v.93,
2013,
pp.1401-1407)
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60
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Transfer Learning for Visual Categorization: A Survey
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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)