17543 search results - page 257 / 3509 » Stochastic Optimization Algorithms |
167
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NAACL
1994
15 years 7 months ago
1994
In this paper, we propose a new stochastic language model that integrates local and global constraints effectively and describe a speechrecognition system basedon it. Theproposedl...
183
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ACL
2009
15 years 4 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
177
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
324
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CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
256
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ICPR
2010
IEEE
16 years 1 months ago
2010
IEEE
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficien...