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» Learning Generative Models of Similarity Matrices
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BMCBI
2007
133views more  BMCBI 2007»
13 years 9 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
CVPR
2010
IEEE
13 years 7 months ago
Visual classification with multi-task joint sparse representation
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
Xiaotong Yuan, Shuicheng Yan
CCS
2010
ACM
13 years 7 months ago
The limits of automatic OS fingerprint generation
Remote operating system fingerprinting relies on implementation differences between OSs to identify the specific variant executing on a remote host. Because these differences can ...
David W. Richardson, Steven D. Gribble, Tadayoshi ...
TAP
2008
Springer
93views Hardware» more  TAP 2008»
13 years 9 months ago
Pex-White Box Test Generation for .NET
Pex automatically produces a small test suite with high code coverage for a .NET program. To this end, Pex performs a systematic program analysis (using dynamic symbolic execution,...
Nikolai Tillmann, Jonathan de Halleux
ICGI
2010
Springer
13 years 8 months ago
Learning PDFA with Asynchronous Transitions
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...
Borja Balle, Jorge Castro, Ricard Gavaldà