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» New models and algorithms for programmable networks
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AMAI
2008
Springer
15 years 2 months ago
Mixed deterministic and probabilistic networks
Abstract The paper introduces mixed networks, a new graphical model framework for expressing and reasoning with probabilistic and deterministic information. The motivation to devel...
Robert Mateescu, Rina Dechter
145
Voted
SI3D
2005
ACM
15 years 7 months ago
What you see is what you snap: snapping to geometry deformed on the GPU
We present a simple yet effective snapping technique for constraining the motion of the cursor of an input device to the surface of 3D models whose geometry is arbitrarily deforme...
Harlen Costa Batagelo, Shin-Ting Wu
CIMCA
2005
IEEE
15 years 7 months ago
Oscillatory neural network for adaptive dynamical image processing
We develop a biologically motivated oscillatory network model and related dynamical synchronizationbased method of image segmentation. The first version of successive segmentation...
Margarita Kuzmina, Edward A. Manykin
ISPDC
2008
IEEE
15 years 8 months ago
Algorithms for Network Topology Discovery using End-to-End Measurements
Identifying and inferring performances of a network topology is a well known problem. Achieving this by using only end-to-end measurements at the application level is a method kno...
Laurent Bobelin, Traian Muntean
PPSN
2004
Springer
15 years 7 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta