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CVPR
2004
IEEE
16 years 5 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...
GECCO
2005
Springer
288views Optimization» more  GECCO 2005»
15 years 8 months ago
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices
Genetic Algorithms (GAs) are a search and optimization technique based on the mechanism of evolution. Recently, another sort of population-based optimization method called Estimat...
Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto
ANTSW
2010
Springer
15 years 1 months ago
Autonomous Multi-agent Cycle Based Patrolling
We introduce a novel multi-agent patrolling strategy. By assumption, the swarm of agents performing the task consists of very low capability ant-like agents. The agents have littl...
Yotam Elor, Alfred M. Bruckstein
EUROPAR
2009
Springer
15 years 7 months ago
Distributed Data Partitioning for Heterogeneous Processors Based on Partial Estimation of Their Functional Performance Models
The paper presents a new data partitioning algorithm for parallel computing on heterogeneous processors. Like traditional functional partitioning algorithms, the algorithm assumes ...
Alexey L. Lastovetsky, Ravi Reddy
SECON
2008
IEEE
15 years 9 months ago
On Distributed Optimization Using Peer-to-Peer Communications in Wireless Sensor Networks
—We describe and evaluate a suite of distributed and computationally efficient algorithms for solving a class of convex optimization problems in wireless sensor networks. The pr...
Björn Johansson, Cesare M. Carretti, Mikael J...