A flash crowd is a surge in traffic to a particular Web site that causes the site to be virtually unreachable. We present a theoretical model of flash crowd events and evaluate...
Ismail Ari, Bo Hong, Ethan L. Miller, Scott A. Bra...
Streaming multimedia applications, such as video on demand or conferencing are increasingly deployed in heterogeneous and mobile environments including Workstations, PDAs, mobile p...
Slim Ben Atallah, Oussama Layaida, Noel De Palma, ...
We present test results from spike-timing correlation learning experiments carried out with silicon neurons with STDP (Spike Timing Dependent Plasticity) synapses. The weight chan...
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...