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ICCV
2001
IEEE
16 years 6 months ago
Stochastic Processes in Vision: From Langevin to Beltrami
Diffusion processes which are widely used in low level vision are presented as a result of an underlying stochastic process. The short-time non-linear diffusion is interpreted as ...
Nir A. Sochen
ICPR
2000
IEEE
16 years 5 months ago
Extraction of Relevant Information from Document Images Using Measures of Visual Attention
This paper describes an approach to attention based layout segmentation using general principles of the human visual perception to achieve this goal. The text is considered as tex...
Gerd Maderlechner, Angela Schreyer, Peter Suda
ILP
2005
Springer
15 years 10 months ago
Learning Teleoreactive Logic Programs from Problem Solving
In this paper, we focus on the problem of learning reactive skills for use by physical agents. We propose a new representation for such procedures, teleoreactive logic programs, al...
Dongkyu Choi, Pat Langley
TCOM
2010
112views more  TCOM 2010»
14 years 11 months ago
Concise Derivation of Scattering Function from Channel Entropy Maximization
In order to provide a concise time-varying SISO channel model, the principle of maximum entropy is applied to scattering function derivation. The resulting model is driven by few p...
François-Xavier Socheleau, Christophe Laot,...
NIPS
1998
15 years 5 months ago
Learning to Estimate Scenes from Images
We seek the scene interpretation that best explains image data. For example, we may want to infer the projected velocities (scene) which best explain two consecutive image frames ...
William T. Freeman, Egon C. Pasztor