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» Approximation Algorithms for the Max-coloring Problem
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ICPR
2006
IEEE
14 years 10 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
ICML
2008
IEEE
14 years 10 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
14 years 6 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
IPPS
2005
IEEE
14 years 2 months ago
Distributed Scheduling of Parallel I/O in the Presence of Data Replication
This paper studies distributed scheduling of parallel I/O data transfers on systems that provide data replication. In our previous work, we proposed a centralized algorithm for so...
Jan-Jan Wu, Pangfeng Liu
CVPR
2004
IEEE
14 years 11 months ago
Window-Based, Discontinuity Preserving Stereo
Traditionally, the problem of stereo matching has been addressed either by a local window-based approach or a dense pixel-based approach using global optimization. In this paper, ...
Motilal Agrawal, Larry S. Davis