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ECCV
2002
Springer
15 years 11 months ago
Towards Improved Observation Models for Visual Tracking: Selective Adaptation
Abstract. An important issue in tracking is how to incorporate an appropriate degree of adaptivity into the observation model. Without any adaptivity, tracking fails when object pr...
Andrew Blake, Jaco Vermaak, Michel Gangnet, Patric...
COLT
2008
Springer
14 years 11 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
IJCAI
2007
14 years 11 months ago
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...
MMSP
2008
IEEE
125views Multimedia» more  MMSP 2008»
15 years 4 months ago
Selective use of multiple entropy models in audio coding
—The use of multiple entropy models for Huffman or arithmetic coding is widely used to improve the compression efficiency of many algorithms when the source probability distribu...
Sanjeev Mehrotra, Wei-Ge Chen
ICPPW
2005
IEEE
15 years 3 months ago
Performance Prophet: A Performance Modeling and Prediction Tool for Parallel and Distributed Programs
High-performance computing is essential for solving large problems and for reducing the time to solution for a single problem. Current top high-performance computing systems conta...
Sabri Pllana, Thomas Fahringer