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SPLC
2007
13 years 11 months ago
Feature Diagrams and Logics: There and Back Again
Feature modeling is a notation and an approach for modeling commonality and variability in product families. In their basic form, feature models contain mandatory/optional feature...
Krzysztof Czarnecki, Andrzej Wasowski
ICML
2010
IEEE
13 years 10 months ago
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
CGF
2008
217views more  CGF 2008»
13 years 10 months ago
A Flexible Kernel for Adaptive Mesh Refinement on GPU
We present a flexible GPU kernel for adaptive on-the-fly refinement of meshes with arbitrary topology. By simply reserving a small amount of GPU memory to store a set of adaptive ...
Tamy Boubekeur, Christophe Schlick
CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 10 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
CGA
2007
13 years 9 months ago
Interactive Illustrative Rendering on Mobile Devices
Illustrative rendering is a widely used visualization technique to display conceptual information, describe problems and give insight to solve them efficiently in science, engine...
Jingshu Huang, Brian Bue, Avin Pattath, David S. E...