TPDS
2010
13 years 10 months ago
2010
—We studied the minimum latency gossiping (all-to-all broadcast) problem in multihop radio networks defined as follows: Each node in the network is preloaded with a message and t...
TON
2010
13 years 10 months ago
2010
—This paper develops a simple and accurate stochastic model for the steady-state throughput of a TCP NewReno bulk data transfer as a function of round-trip time and loss rate. Ou...
TMI
2010
13 years 10 months ago
2010
Abstract—The use of quantitative imaging for the characterization of hepatic tumors in MRI can improve the diagnosis and therefore the treatment of these life-threatening tumors....
TMI
2010
13 years 10 months ago
2010
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
TKDD
2010
13 years 10 months ago
2010
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
TIP
2010
13 years 10 months ago
2010
In this paper, we propose a generalized linear model for video packet loss visibility that is applicable to different group-of-picture structures. We develop the model using three...
TIP
2010
13 years 10 months ago
2010
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
TECS
2010
13 years 10 months ago
2010
We consider the problem of recovering from failures of distributable threads (“threads”) in distributed realtime systems that operate under run-time uncertainties including th...
TCSB
2010
13 years 10 months ago
2010
Transcriptional attenuation at E.coli’s tryptophan operon is a prime example of RNA-mediated gene regulation. In this paper, we present a discrete stochastic model for this pheno...
TCS
2010
13 years 10 months ago
2010
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model co...