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» Input Modeling Using Quantile Statistical Methods
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121
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ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 8 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
NIPS
2001
15 years 1 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
EMMCVPR
2007
Springer
15 years 6 months ago
Continuous Global Optimization in Multiview 3D Reconstruction
Abstract. In this work, we introduce a robust energy model for multiview 3D reconstruction that fuses silhouette- and stereo-based image information. It allows to cope with signiï¬...
Kalin Kolev, Maria Klodt, Thomas Brox, Selim Esedo...
98
Voted
ESANN
2000
15 years 1 months ago
Parametric approach to blind deconvolution of nonlinear channels
A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
Jordi Solé i Casals, Anisse Taleb, Christia...
IVC
2000
153views more  IVC 2000»
15 years 8 days ago
The model-based human body motion analysis system
In this paper, we propose a model-based method to analyze the human walking motion. This system consists of three phases: the preprocessing phase, the model construction phase, an...
I-Cheng Chang, Chung-Lin Huang