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IJFCS
2008
49views more  IJFCS 2008»
13 years 10 months ago
A Markovian Approach for the Analysis of the gene Structure
Hidden Markov models (HMMs) are effective tools to detect series of statistically homogeneous structures, but they are not well suited to analyse complex structures. Numerous meth...
Christelle Melo de Lima, Laurent Gueguen, Christia...
CN
2007
95views more  CN 2007»
13 years 10 months ago
Sampling large Internet topologies for simulation purposes
In this paper, we develop methods to ‘‘sample’’ a small realistic graph from a large Internet topology. Despite recent activity, modeling and generation of realistic graph...
Vaishnavi Krishnamurthy, Michalis Faloutsos, Marek...
CORR
2007
Springer
88views Education» more  CORR 2007»
13 years 10 months ago
Target assignment for robotic networks: asymptotic performance under limited communication
— We are given an equal number of mobile robotic agents, and distinct target locations. Each agent has simple integrator dynamics, a limited communication range, and knowledge of...
Stephen L. Smith, Francesco Bullo
PAMI
2008
119views more  PAMI 2008»
13 years 10 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
PR
2008
140views more  PR 2008»
13 years 9 months ago
An incremental node embedding technique for error correcting output codes
The error correcting output codes (ECOC) technique is a useful way to extend any binary classifier to the multiclass case. The design of an ECOC matrix usually considers an a prio...
Oriol Pujol, Sergio Escalera, Petia Radeva