1957 search results - page 69 / 392 » Approximate algorithms for neural-Bayesian approaches |
ESANN
2007
14 years 11 months ago
2007
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
103
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ML
2007
ACM
14 years 9 months ago
2007
ACM
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Regeneration of biometric templates from match scores has security and privacy implications related to any biometric based authentication system. In this paper, we propose a novel...
139
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Restoring a clear image from a single motion-blurred
image due to camera shake has long been a challenging
problem in digital imaging. Existing blind deblurring techniques
eithe...
ANOR
2002
14 years 9 months ago
2002
A new algorithm for solving smooth large-scale minimization problems with bound constraints is introduced. The way of dealing with active constraints is similar to the one used in...