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UC
2009
Springer
16 years 22 days ago
Abstract Geometrical Computation and Computable Analysis
Geometrical Computation and Computable Analysis J´erˆome Durand-Lose⋆ Laboratoire d’Informatique Fondamentale d’Orl´eans, Universit´e d’Orl´eans, B.P. 6759, F-45067 OR...
Jérôme Durand-Lose
CVPR
2004
IEEE
16 years 8 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
15 years 11 months 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...
EWSN
2011
Springer
14 years 9 months ago
An Adaptive Algorithm for Compressive Approximation of Trajectory (AACAT) for Delay Tolerant Networks
Highly efficient compression provides a promising approach to address the transmission and computation challenges imposed by moving object tracking applications on resource constra...
Rajib Kumar Rana, Wen Hu, Tim Wark, Chun Tung Chou
FOCS
1999
IEEE
15 years 10 months ago
Approximate Nearest Neighbor Algorithms for Hausdorff Metrics via Embeddings
Hausdorff metrics are used in geometric settings for measuring the distance between sets of points. They have been used extensively in areas such as computer vision, pattern recog...
Martin Farach-Colton, Piotr Indyk