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SIGMETRICS
2005
ACM
100views Hardware» more  SIGMETRICS 2005»
15 years 6 months ago
On AS-level path inference
The ability to discover the AS-level path between two end-points is valuable for network diagnosis, performance optimization, and reliability enhancement. Virtually all existing t...
Zhuoqing Morley Mao, Lili Qiu, Jia Wang, Yin Zhang
CP
2003
Springer
15 years 5 months ago
Incremental Computation of Resource-Envelopes in Producer-Consumer Models
Abstract. Interleaved planning and scheduling employs the idea of extending partial plans by regularly heeding to the scheduling constraints during search. One of the techniques us...
T. K. Satish Kumar
BMCBI
2010
229views more  BMCBI 2010»
15 years 23 days ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
113
Voted
ECCV
2008
Springer
16 years 2 months ago
Anisotropic Geodesics for Perceptual Grouping and Domain Meshing
This paper shows how computational Riemannian manifold can be used to solve several problems in computer vision and graphics. Indeed, Voronoi segmentations and Delaunay graphs comp...
Sébastien Bougleux, Gabriel Peyré, L...
114
Voted
RECOMB
2003
Springer
16 years 29 days ago
Physical network models and multi-source data integration
We develop a new framework for inferring models of transcriptional regulation. The models in this approach, which we call physical models, are constructed on the basis of verifiab...
Chen-Hsiang Yeang, Tommi Jaakkola