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» Detecting Fault Modules Using Bioinformatics Techniques
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BIBE
2004
IEEE
160views Bioinformatics» more  BIBE 2004»
13 years 10 months ago
A Time Series Analysis of Microarray Data
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
Selnur Erdal, Ozgur Ozturk, David L. Armbruster, H...
DAC
2007
ACM
14 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
ICIP
2008
IEEE
14 years 1 months ago
A multimodal approach to music transcription
Music transcription refers to extraction of a human readable and interpretable description from a recording of a music performance. Automatic music transcription remains, nowadays...
Marco Paleari, Benoit Huet, Antony Schutz, Dirk T....
PPOPP
2003
ACM
13 years 12 months ago
Compactly representing parallel program executions
Collecting a program’s execution profile is important for many reasons: code optimization, memory layout, program debugging and program comprehension. Path based execution pro...
Ankit Goel, Abhik Roychoudhury, Tulika Mitra
TSP
2010
13 years 1 months ago
Low-complexity decoding via reduced dimension maximum-likelihood search
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam...