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CVPR
2004
IEEE
14 years 9 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...
FCT
2007
Springer
13 years 11 months ago
On Approximating Optimal Weighted Lobbying, and Frequency of Correctness Versus Average-Case Polynomial Time
We investigate issues regarding two hard problems related to voting, the optimal weighted lobbying problem and the winner problem for Dodgson elections. Regarding the former, Chris...
Gábor Erdélyi, Lane A. Hemaspaandra,...
CJ
2010
128views more  CJ 2010»
13 years 7 months ago
A Self-Stabilizing O(k)-Time k-Clustering Algorithm
A silent self-stabilizing asynchronous distributed algorithms is given for constructing a kdominating set, and hence a k-clustering, of a connected network of processes with uniqu...
Ajoy Kumar Datta, Lawrence L. Larmore, Priyanka Ve...
STOC
2003
ACM
171views Algorithms» more  STOC 2003»
14 years 7 months ago
Primal-dual meets local search: approximating MST's with nonuniform degree bounds
We present a new bicriteria approximation algorithm for the degree-bounded minimum-cost spanning tree problem: Given an undirected graph with nonnegative edge weights and degree b...
Jochen Könemann, R. Ravi
FLAIRS
2004
13 years 8 months ago
CSAA: A Distributed Ant Algorithm Framework for Constraint Satisfaction
In this paper the distributed Constraint Satisfaction Ant Algorithm (CSAA) framework is presented. It uses an ant-based system for the distributed solving of constraint satisfacti...
Koenraad Mertens, Tom Holvoet