15073 search results - page 302 / 3015 » Probabilistic algorithms for computing resultants |
163
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IJCAI
2003
15 years 6 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
136
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ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
120
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IPL
2006
15 years 4 months ago
2006
In the past 5 years, a series of verification algorithms has been proposed for infinite Markov chains that have a finite attractor, i.e., a set that will be visited infinitely oft...
169
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CVPR
2004
IEEE
16 years 6 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
143
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SAC
2009
ACM
15 years 11 months ago
2009
ACM
We present a GPU-based algorithm for computing discretized distance functions on road networks. As applications, we provide algorithms for computing discrete Order-k Network Voron...