Resultados globales: 3 registros encontrados en 0.02 segundos.
Artículos, Encontrados 2 registros
Libros y colecciones, Encontrados 1 registros
Artículos Encontrados 2 registros  
1.
3 p, 72.2 KB Algorithms for selecting parameters of combination of acyclic adjacency graphs in the problem of texture image processing / Viet Sang, Dinh
Nowadays the great interest of researchers in the problem of processing the interrelated data arrays including images is retained. In the modern theory of machine learning, the problem of image processing is often viewed as a problem in the field of graph models. [...]
2014 - 10.5565/rev/elcvia.626
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 35-37
3 documentos
2.
13 p, 404.8 KB An Experimental Investigation about the Integration of Facial Dynamics in Video-Based Face Recognition / Hadid, Abdenour (University of Oulu (Finlàndia). Department of Electrical and Information Engineering) ; Pietikäinen, Matti (University of Oulu (Finlàndia). Department of Electrical and Information Engineering)
Recent psychological and neural studies indicate that when people talk their changing facial expressions and head movements provide a dynamic cue for recognition. Therefore, both fixed facial features and dynamic personal characteristics are used in the human visual system (HVS) to recognize faces. [...]
2005 - 10.5565/rev/elcvia.80
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 1 (2005) p. 1-13  

Libros y colecciones Encontrados 1 registros  
1.
11 p, 443.2 KB Quantum learning of classical stochastic processes : The completely-positive realization problem / Monras Blasi, Àlex (Universitat Autònoma de Barcelona. Departament de Física) ; Winter, Andreas (Universitat Autònoma de Barcelona. Departament de Física)
Among several tasks in Machine Learning, is the problem of inferring the latent variables of a system and their causal relations with the observed behavior. A paradigmatic instance of such problem is the task of inferring the Hidden Markov Model underlying a given stochastic process. [...]
Dagstuhl : Leibniz-Zentrum fuer Informatik, 2014 (Leibniz International Proceedings in Informatics (LIPIcs) ; 27) - 10.4230/LIPIcs.TQC.2014.99
9th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2014), 2014, p. 99-109  

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