SCOPUS 정보 검색 플랫폼

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 24, Issue 2, 2002, Pages 189-197

Recognizing handwritten digits using hierarchical products of experts

a UNIVERSITY COLLEGE LONDON (United Kingdom)

Author keywords

Boltzmann machines; Feature extraction; Generative models; Handwriting recognition; Model based recognition; Neural networks; Products of experts; Shape recognition

Indexed keywords

FEATURE EXTRACTION; IMAGE ANALYSIS; INFERENCE ENGINES; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBABILITY DISTRIBUTIONS; VECTORS;

BINARY FEATURE DETECTORS; HANDWRITTEN IMAGES; LOGISTIC CLASSIFICATION NETWORK; MNIST DATABASE; NONLINEAR GENERATIVE MODEL; PRODUCTS OF EXPERTS; RESTRICTED BOLTZMANN MACHINE; SHAPE RECOGNITION; STOCHASTIC BINARY FEATURES; TEST IMAGES;

OPTICAL CHARACTER RECOGNITION;

EID: 0036472935 PISSN: 01628828 EISSN: None Source Type: Journal
DOI: 10.1109/34.982899 Document Type: Article

Times cited : (52)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.