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» Combining Multiple Kernels by Augmenting the Kernel Matrix
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ICCV
2007
IEEE
15 years 1 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis
PDPTA
2000
15 years 1 months ago
The PODOS File System - Exploiting the High-Speed Communication Subsystem
Performance Oriented Distributed Operating System (PODOS) is a clustering environment, being built on a monolithic Linux kernel. PODOS augments very few components to the Linux ke...
Sudharshan Vazhkudai, P. Tobin Maginnis
ICML
2004
IEEE
16 years 17 days ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
TSMC
2010
14 years 6 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
CVPR
2010
IEEE
14 years 9 months ago
Visual classification with multi-task joint sparse representation
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
Xiaotong Yuan, Shuicheng Yan