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ICPR
2002
IEEE
16 years 7 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
DAC
2007
ACM
16 years 7 months ago
Compact State Machines for High Performance Pattern Matching
Pattern matching is essential to a wide range of applications such as network intrusion detection, virus scanning, etc. Pattern matching algorithms normally rely on state machines...
Piti Piyachon, Yan Luo
RECOMB
2005
Springer
16 years 7 months ago
Comparison of Protein-Protein Interaction Confidence Assignment Schemes
Recent technological advances have enabled high-throughput measurements of protein-protein interactions in the cell, producing protein interaction networks for various species at a...
Silpa Suthram, Tomer Shlomi, Eytan Ruppin, Roded S...
PERCOM
2009
ACM
16 years 1 months ago
Markov Chain Existence and Hidden Markov Models in Spectrum Sensing
—The primary function of a cognitive radio is to detect idle frequencies or sub-bands, not used by the primary users (PUs), and allocate these frequencies to secondary users. The...
Chittabrata Ghosh, Carlos de M. Cordeiro, Dharma P...
DSN
2008
IEEE
16 years 1 months ago
Trace-based microarchitecture-level diagnosis of permanent hardware faults
As devices continue to scale, future shipped hardware will likely fail due to in-the-field hardware faults. As traditional redundancy-based hardware reliability solutions that ta...
Man-Lap Li, Pradeep Ramachandran, Swarup Kumar Sah...