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WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
16 years 3 days ago
Using Singular Value Decomposition Approximation for Collaborative Filtering
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...
CORR
2010
Springer
166views Education» more  CORR 2010»
15 years 6 months ago
Software Metrics Evaluation Based on Entropy
Abstract. Software engineering activities in the Industry has come a long way with various improvements brought in various stages of the software development life cycle. The comple...
R. Selvarani, T. R. Gopalakrishnan Nair, Muthu Ram...
ICML
2008
IEEE
16 years 7 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
TMC
2010
150views more  TMC 2010»
15 years 4 months ago
Handling Mobility in Wireless Sensor and Actor Networks
— In Wireless Sensor and Actor Networks (WSANs), the collaborative operation of sensors enables the distributed sensing of a physical phenomenon, while actors collect and process...
Tommaso Melodia, Dario Pompili, Ian F. Akyildiz
ICCV
2011
IEEE
14 years 6 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr