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ICML
2007
IEEE
16 years 7 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
NETCOOP
2007
Springer
16 years 1 months ago
Tracing an Optical Buffer's Performance: An Effective Approach
Abstract. Optical Burst Switching proposes a future-proof alternative to the current electronic switching in the backbone. The involved optical buffers are implemented with a set o...
Wouter Rogiest, Dieter Fiems, Koenraad Laevens, He...
ANCS
2006
ACM
16 years 1 months ago
A methodology for evaluating runtime support in network processors
Modern network processor systems require the ability to adapt their processing capabilities at runtime to changes in network traffic. Traditionally, network processor applications...
Xin Huang, Tilman Wolf
CVBIA
2005
Springer
16 years 17 days ago
Real-Time Simulation of Deformable Soft Tissue Based on Mass-Spring and Medial Representation
In this paper, we present a novel deformable model for soft tissue simulation in a real-time manner. The innovative model consists of two submodels: the surface one and the interna...
Shaoting Zhang, Lixu Gu, Pengfei Huang, Jianfeng X...
ICCV
2003
IEEE
16 years 9 days ago
Active Concept Learning for Image Retrieval in Dynamic Databases
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
Anlei Dong, Bir Bhanu