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» A Probability Model for Combining Ranks
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ACL
2008
15 years 5 months ago
Using Adaptor Grammars to Identify Synergies in the Unsupervised Acquisition of Linguistic Structure
Adaptor grammars (Johnson et al., 2007b) are a non-parametric Bayesian extension of Probabilistic Context-Free Grammars (PCFGs) which in effect learn the probabilities of entire s...
Mark Johnson
UAI
1997
15 years 5 months ago
Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
Fabio Gagliardi Cozman
240
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DAGM
2006
Springer
15 years 7 months ago
Near Real-Time Motion Segmentation Using Graph Cuts
We present a new approach to integrated motion estimation and segmentation by combining methods from discrete and continuous optimization. The velocity of each of a set of regions ...
Thomas Schoenemann, Daniel Cremers
BMCBI
2010
123views more  BMCBI 2010»
15 years 4 months ago
Decoding HMMs using the k best paths: algorithms and applications
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
Daniel G. Brown 0001, Daniil Golod
TWC
2010
14 years 10 months ago
Performance of an Energy Detector over Channels with Both Multipath Fading and Shadowing
This paper analyzes the performance of an energy detector over wireless channels with composite multipath fading and shadowing effects. These effects are modeled by using the and ...
Saman Atapattu, Chintha Tellambura, Hai Jiang