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CVPR
2004
IEEE
16 years 1 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
STOC
2004
ACM
107views Algorithms» more  STOC 2004»
16 years 4 days ago
Primal-dual algorithms for deterministic inventory problems
We consider several classical models in deterministic inventory theory: the single-item lot-sizing problem, the joint replenishment problem, and the multi-stage assembly problem. ...
Retsef Levi, Robin Roundy, David B. Shmoys
SIGIR
2009
ACM
15 years 6 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
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 6 months ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
SECON
2007
IEEE
15 years 6 months ago
INPoD: In-Network Processing over Sensor Networks based on Code Design
—In this paper, we develop a joint Network Coding (NC)-channel coding error-resilient sensor-network approach that performs In-Network Processing based on channel code Design (IN...
Kiran Misra, Shirish S. Karande, Hayder Radha