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IR
2006
13 years 9 months ago
A study of mixture models for collaborative filtering
Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
Rong Jin, Luo Si, Chengxiang Zhai
BMVC
2001
13 years 11 months ago
Hierarchical Combination of Object Models using Mutual Information
Combining different and complementary object models promises to increase the robustness and generality of today’s computer vision algorithms. This paper introduces a new method ...
Hannes Kruppa, Bernt Schiele
EMNLP
2008
13 years 10 months ago
Unsupervised Models for Coreference Resolution
We present a generative model for unsupervised coreference resolution that views coreference as an EM clustering process. For comparison purposes, we revisit Haghighi and Klein�...
Vincent Ng
NIPS
2007
13 years 10 months ago
Modeling homophily and stochastic equivalence in symmetric relational data
This article discusses a latent variable model for inference and prediction of symmetric relational data. The model, based on the idea of the eigenvalue decomposition, represents ...
Peter Hoff
PREMI
2005
Springer
14 years 2 months ago
3D Facial Pose Tracking in Uncalibrated Videos
Abstract. This paper presents a method to recover the 3D configuration of a face in each frame of a video. The 3D configuration consists of the three translational parameters and...
Gaurav Aggarwal, Ashok Veeraraghavan, Rama Chellap...