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BMCBI
2010
118views more  BMCBI 2010»
15 years 6 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
CVPR
2008
IEEE
16 years 8 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila
ICDCSW
2005
IEEE
16 years 1 days ago
A Distributed Architecture for Management and Retrieval of Extended Points of Interest
This paper presents a distributed architecture for the management and retrieval of particular objects called POIsmarts. POIsmarts can be considered as the convergence between virt...
Claudio Bettini, Nicolò Cesa-Bianchi, Danie...
TSE
2002
157views more  TSE 2002»
15 years 6 months ago
Assessing the Applicability of Fault-Proneness Models Across Object-Oriented Software Projects
A number of papers have investigated the relationships between design metrics and the detection of faults in object-oriented software. Several of these studies have shown that suc...
Lionel C. Briand, Walcélio L. Melo, Jü...
EUROCRYPT
2004
Springer
15 years 11 months ago
Positive Results and Techniques for Obfuscation
Informally, an obfuscator O is an efficient, probabilistic “compiler” that transforms a program P into a new program O(P) with the same functionality as P, but such that O(P)...
Ben Lynn, Manoj Prabhakaran, Amit Sahai