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» Extracting and Modeling Product Line Functional Requirements
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BMCBI
2007
157views more  BMCBI 2007»
14 years 9 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
88
Voted
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 1 months ago
A Probabilistic Sensor for the Perception of Activities
This paper presents a new technique for the perception of activities using statistical description of spatio-temporal properties. With this approach, the probability of an activit...
Olivier Chomat, James L. Crowley
ICASSP
2011
IEEE
14 years 1 months ago
Well-calibrated heavy tailed Bayesian speaker verification for microphone speech
The work presented in this paper is an extension of our two previous works [1, 2]. In the first paper [1], we proposed a low dimensional feature (i-vectors) extractor which is su...
Mohammed Senoussaoui, Patrick Kenny, Pierre Dumouc...
84
Voted
ASPLOS
2006
ACM
15 years 3 months ago
AVIO: detecting atomicity violations via access interleaving invariants
Concurrency bugs are among the most difficult to test and diagnose of all software bugs. The multicore technology trend worsens this problem. Most previous concurrency bug detect...
Shan Lu, Joseph Tucek, Feng Qin, Yuanyuan Zhou
DAGM
2003
Springer
15 years 2 months ago
Splines and Wavelets: New Perspectives for Pattern Recognition
We provide an overview of spline and wavelet techniques with an emphasis on applications in pattern recognition. The presentation is divided in three parts. In the first one, we ar...
Michael Unser