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ICIP
2008
IEEE
16 years 5 months ago
Tracking through changes in scale
We propose a tracking system that is especially well-suited to tracking targets which change drastically in size or appearance. To accomplish this, we employ a fast, two phase tem...
Allen Tannenbaum, Arie Nakhmani, James G. Malcolm,...
ISDA
2008
IEEE
15 years 9 months ago
Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search
This paper describes a method for improving the final accuracy and the convergence speed of Particle Swarm Optimization (PSO) by adapting its inertia factor in the velocity updati...
Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhir...
107
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PDP
2008
IEEE
15 years 9 months ago
Bulk-Synchronous On-Line Crawling on Clusters of Computers
This paper describes the design of a crawler devised to perform the periodic retrieval of Web documents for a search engine able to accept on-line updates in a concurrent manner. ...
Mauricio Marín, Carolina Bonacic
ICML
2009
IEEE
15 years 10 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
FLAIRS
2008
15 years 5 months ago
Belief Update Using Graphs
Florian Stadlbauer