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ICCV
2003
IEEE
14 years 10 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
SIGIR
2009
ACM
14 years 2 months ago
Learning to recommend with social trust ensemble
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
Hao Ma, Irwin King, Michael R. Lyu
ICPIA
1992
14 years 1 days ago
Parallel Manipulations of Octrees and Quadtrees
Abstract. Octrees o er a powerful means for representing and manipulating 3-D objects. This paper presents an implementation of octree manipulations using a new approach on a share...
Vipin Chaudhary, K. Kamath, Prakash Arunachalam, J...
ACL
2007
13 years 9 months ago
A fully Bayesian approach to unsupervised part-of-speech tagging
Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...
Sharon Goldwater, Tom Griffiths
IFIP12
2004
13 years 9 months ago
Introducing a Star Topology into Latent Class Models for Collaborative Filtering
Latent class models (LCM) represent the high dimensional data in a smaller dimensional space in terms of latent variables. They are able to automatically discover the patterns from...
Gabriela Polcicova, Peter Tiño