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NETWORKING
2007
15 years 8 months ago
Interference-Aware Multicasting in Wireless Mesh Networks
Multicasting is one of the most important applications in Wireless Ad hoc Networks and the currently emerging Wireless Mesh Networks. In such networks, interference due to the shar...
Sudheendra Murthy, Abhishek Goswami, Arunabha Sen
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 8 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
HEURISTICS
2008
120views more  HEURISTICS 2008»
15 years 6 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
PAMI
2006
168views more  PAMI 2006»
15 years 6 months ago
Graphical Models and Point Pattern Matching
This paper describes a novel solution to the rigid point pattern matching problem in Euclidean spaces of any dimension. Although we assume rigid motion, jitter is allowed. We pres...
Tibério S. Caetano, Terry Caelli, Dale Schu...
TCBB
2008
126views more  TCBB 2008»
15 years 6 months ago
Combinatorial Approaches for Mass Spectra Recalibration
Mass spectrometry has become one of the most popular analysis techniques in Proteomics and Systems Biology. With the creation of larger data sets, the automated recalibration of ma...
Sebastian Böcker, Veli Mäkinen