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» The Probabilistic Method
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122
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ICML
2008
IEEE
16 years 1 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih
120
Voted
ICML
2005
IEEE
16 years 1 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang
82
Voted
ICDE
2010
IEEE
243views Database» more  ICDE 2010»
16 years 13 days ago
Probabilistic Contextual Skylines
The skyline query returns the most interesting tuples according to a set of explicitly defined preferences among attribute values. This work relaxes this requirement, and allows us...
Anastasios Arvanitis, Dimitris Sacharidis, Timos K...
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 7 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
83
Voted
ICRA
2007
IEEE
89views Robotics» more  ICRA 2007»
15 years 7 months ago
Probabilistic Strategies for Pursuit in Cluttered Environments with Multiple Robots
Abstract— In this paper, we describe a method for coordinating multiple robots in a pursuit-evasion domain. We examine the problem of multiple robotic pursuers attempting to loca...
Geoffrey Hollinger, Athanasios Kehagias, Sanjiv Si...