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148
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IJCV
2010
249views more  IJCV 2010»
15 years 1 months ago
A Computational Model of Multidimensional Shape
We develop a computational model of shape that extends existing Riemannian models of shape of curves to multidimensional objects of general topological type. We construct shape sp...
Xiuwen Liu, Yonggang Shi, Ivo D. Dinov, Washington...
160
Voted
CVPR
2011
IEEE
14 years 11 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
ISDA
2010
IEEE
15 years 20 days ago
Self-adaptive Gaussian mixture models for real-time video segmentation and background subtraction
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
295
Voted

Book
5396views
17 years 2 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
WSC
2007
15 years 5 months ago
Conceptual modeling of information exchange requirements based on ontological means
Unambiguous definition of the information exchanged between distributed systems is a necessary requirement for simulation system interoperability. The ontological spectrum categor...
Andreas Tolk, Charles D. Turnitsa