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,...
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...
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. ...
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...