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» Newton's method and its use in optimization
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VMV
2004
80views Visualization» more  VMV 2004»
15 years 3 months ago
Reducing State Changes with a Pipeline Buffer
A limiting factor in the performance of a rendering system is the number of state changes, i.e., changes of the attributes material, texture, shader program, etc., in the stream o...
Jens Krokowski, Harald Räcke, Christian Sohle...
176
Voted
PAMI
2007
186views more  PAMI 2007»
15 years 1 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little
ICPR
2010
IEEE
15 years 4 months ago
Near-Regular BTF Texture Model
—In this paper we present a method for seamless enlargement and editing of intricate near-regular type of bidirectional texture function (BTF) which contains simultaneously both ...
Michael Haindl, Martin Hatka
164
Voted
CVPR
2009
IEEE
16 years 9 months ago
A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields
Much research effort on Automatic Image Annotation (AIA) has been focused on Generative Model, due to its well formed theory and competitive performance as compared with many we...
Yu Xiang (Fudan University), Xiangdong Zhou (Fudan...
TIP
1998
142views more  TIP 1998»
15 years 1 months ago
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF
Abstract—We propose a method for the reconstruction of signals and images observed partially through a linear operator with a large support (e.g., a Fourier transform on a sparse...
Mila Nikolova, Jérôme Idier, Ali Moha...