In this paper we present AntNet, a novel adaptive approach to routing tables learning in packet-switched communications networks. AntNet is inspired by the stigmergy model of commu...
This paper considers the problem of monocular human body tracking using learned models. We propose to learn the joint probability distribution of appearance and body pose using a m...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
We present a scalable algorithm for the parallel computation of inverted files for large text collections. The algorithm takes into account an environment of a high bandwidth netw...
Berthier A. Ribeiro-Neto, Joao Paulo Kitajima, Gon...
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
Background: With the rapidly falling cost and availability of high throughput sequencing and microarray technologies, the bottleneck for effectively using genomic analysis in the ...
David A. Nix, Tonya L. Di Sera, Brian K. Dalley, B...