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» The Bias Problem and Language Models in Adaptive Filtering
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WWW
2007
ACM
14 years 9 months ago
Google news personalization: scalable online collaborative filtering
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item ...
Abhinandan Das, Mayur Datar, Ashutosh Garg, ShyamS...
ECCV
2006
Springer
14 years 11 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
FGR
2004
IEEE
105views Biometrics» more  FGR 2004»
14 years 23 days ago
Particle Filtering with Factorized Likelihoods for Tracking Facial Features
In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major prob...
Ioannis Patras, Maja Pantic
ECMDAFA
2006
Springer
107views Hardware» more  ECMDAFA 2006»
14 years 21 days ago
Mutation Analysis Testing for Model Transformations
In MDE, model transformations should be efficiently tested so that it may be used and reused safely. Mutation analysis is an efficient technique to evaluate the quality of test dat...
Jean-Marie Mottu, Benoit Baudry, Yves Le Traon
ICSE
2005
IEEE-ACM
14 years 9 months ago
An adaptive object model with dynamic role binding
To achieve the goalof realizingobject adaptationto environments, a new role-based model Epsilon and a language EpsilonJ is proposed. In Epsilon, an environment is defined as a fie...
Tetsuo Tamai, Naoyasu Ubayashi, Ryoichi Ichiyama