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» Selectivity Estimation using Probabilistic Models
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149
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ICML
2010
IEEE
15 years 6 months ago
Label Ranking Methods based on the Plackett-Luce Model
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül...
171
Voted
WISE
2002
Springer
15 years 10 months ago
An Update-Risk Based Approach to TTL Estimation in Web Caching
Web caching is an important technique for accelerating web applications and reducing the load on the web server and the network through local cache accesses. As in the traditional...
Jeong-Joon Lee, Kyu-Young Whang, Byung Suk Lee, Ji...
ICIAP
2001
Springer
16 years 5 months ago
Bayesian Face Recognition with Deformable Image Models
We propose a novel representation for characterizing image differences using a deformable technique for obtaining pixel-wise correspondences. This representation, which is based o...
Baback Moghaddam, Chahab Nastar, Alex Pentland
CVPR
2004
IEEE
16 years 7 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
ICASSP
2008
IEEE
15 years 11 months ago
Bayesian extensions to non-negative matrix factorisation for audio signal modelling
We describe the underlying probabilistic generative signal model of non-negative matrix factorisation (NMF) and propose a realistic conjugate priors on the matrices to be estimate...
Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsi...