SCOPUS 정보 검색 플랫폼

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4668 LNCS, Issue PART 1, 2007, Pages 657-667

Generalized softmax networks for non-linear component extraction

(2) Lücke, Jörg a Sahani, Maneesh a

a UNIVERSITY COLLEGE LONDON (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; EXTRACTION; LEARNING ALGORITHMS; MAXIMUM LIKELIHOOD;

ANALYTICAL RESULTS; BENCHMARK TESTS; GENERATIVE MODEL; HIDDEN UNITS; MAX FUNCTIONS; NEURAL UNITS; PARAMETER OPTIMIZATION; PROBABILISTIC INTERPRETATION;

NEURAL NETWORKS;

EID: 38149004503 PISSN: 03029743 EISSN: 16113349 Source Type: Book Series
DOI: 10.1007/978-3-540-74690-4_67 Document Type: Conference Paper

Times cited : (11)

References (10)

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2
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- Yuille, A.L.¹ Geiger, D.²

3
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- Spratling, M.W.¹ Johnson, M.H.²

4
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- Rapid processing and unsupervised learning in a model of the cortical macrocolumn
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- Lücke, J.¹ von der Malsburg, C.²

5
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- Learning image components for object recognition
- Spratling, M.W.: Learning image components for object recognition. Journal of Machine Learning Research 7, 793-815 (2006)
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- Spratling, M.W.¹

6
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- Generalization in interactive networks: The benefits of inhibitory competition and Hebbian learning
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.