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» Complex ICA Using Nonlinear Functions
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CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
15 years 24 days ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
CVPR
2003
IEEE
14 years 10 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
CIMCA
2005
IEEE
14 years 2 months ago
NEFCOP: A Neuro-Fuzzy Vehicle Collision Prediction System
Given that road accidents occur in a real-time environment, simple crisp functions would barely provide an estimate of the gravity of the life situation. Fuzzy-based systems are a...
K. Venkatesh, Archana Ramesh, M. Alagusundaram, J....
CPHYSICS
2007
126views more  CPHYSICS 2007»
13 years 8 months ago
Adaptive continuation algorithms for computing energy levels of rotating Bose-Einstein condensates
We describe adaptive continuation algorithms for computing energy levels of the Bose–Einstein condensates (BEC) with emphasis on the rotating BEC. We show that the rotating BEC ...
S.-L. Chang, C.-S. Chien
ECCC
2000
158views more  ECCC 2000»
13 years 8 months ago
On the Computational Power of Winner-Take-All
This article initiates a rigorous theoretical analysis of the computational power of circuits that employ modules for computing winner-take-all. Computational models that involve ...
Wolfgang Maass