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17 years 4 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
RSA
2008
87views more  RSA 2008»
15 years 5 months ago
A combinatorial approach to jumping particles: The parallel TASEP
In this paper we continue the combinatorial study of models of particles jumping on a row of cells which we initiated with the standard totally asymmetric exclusion process or TASE...
Enrica Duchi, Gilles Schaeffer
GLVLSI
2002
IEEE
109views VLSI» more  GLVLSI 2002»
15 years 10 months ago
Minimizing resources in a repeating schedule for a split-node data-flow graph
Many computation-intensive or recursive applications commonly found in digital signal processing and image processing applications can be represented by data-flow graphs (DFGs). ...
Timothy W. O'Neil, Edwin Hsing-Mean Sha
PAMI
2008
161views more  PAMI 2008»
15 years 5 months ago
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework
Standard 3D imaging systems process only a single return at each pixel from an assumed single opaque surface. However, there are situations when the laser return consists of multip...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
DLOG
1997
15 years 7 months ago
Spatioterminological Reasoning: Subsumption Based on Geometrical Inferences
Abstract: This paper presents a theoretical basis for terminological reasoning about objects and their qualitative spatial relationships. In contrast to existing work, which mainly...
Volker Haarslev, Ralf Möller