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» Approximate Learning of Dynamic Models
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CVPR
2004
IEEE
16 years 6 months ago
MetaMorphs: Deformable Shape and Texture Models
We present a new class of deformable models, MetaMorphs, whose formulation integrates both shape and interior texture. The model deformations are derived from both boundary and re...
Xiaolei Huang, Dimitris N. Metaxas, Ting Chen
SIGMETRICS
2003
ACM
165views Hardware» more  SIGMETRICS 2003»
15 years 10 months ago
A hybrid systems modeling framework for fast and accurate simulation of data communication networks
In this paper we present a general hybrid systems modeling framework to describe the flow of traffic in communication networks. To characterize network behavior, these models use...
Stephan Bohacek, João P. Hespanha, Junsoo L...
SIAMCOMP
2011
14 years 11 months ago
The Chow Parameters Problem
Abstract. In the 2nd Annual FOCS (1961), Chao-Kong Chow proved that every Boolean threshold function is uniquely determined by its degree-0 and degree-1 Fourier coefficients. These...
Ryan O'Donnell, Rocco A. Servedio
FLAIRS
2004
15 years 6 months ago
Random Subspacing for Regression Ensembles
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...
Niall Rooney, David W. Patterson, Sarab S. Anand, ...
CSDA
2006
94views more  CSDA 2006»
15 years 4 months ago
Signal extraction for simulated games with a large number of players
A signal extraction problem in simulated games is studied. A modelling technique is proposed for deriving beliefs for players in simulated games. Since standard Bayesian games pro...
Aki Lehtinen