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KDD
2007
ACM
149views Data Mining» more  KDD 2007»
15 years 10 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
ICCV
2009
IEEE
16 years 2 months ago
Is Dual Linear Self-Calibration Artificially Ambiguous?
This purely theoretical work investigates the problem of artificial singularities in camera self-calibration. Selfcalibration allows one to upgrade a projective reconstruction t...
Pierre Gurdjos, Adrien Bartoli, Peter Sturm
ICML
2004
IEEE
15 years 10 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
PPOPP
2009
ACM
15 years 10 months ago
Detecting and tolerating asymmetric races
Because data races represent a hard-to-manage class of errors in concurrent programs, numerous approaches to detect them have been proposed and evaluated. We specifically consider...
Paruj Ratanaworabhan, Martin Burtscher, Darko Kiro...
POPL
2003
ACM
15 years 10 months ago
New results on the computability and complexity of points - to analysis
Given a program and two variables p and q, the goal of points-to analysis is to check if p can point to q in some execution of the program. This well-studied problem plays a cruci...
Venkatesan T. Chakaravarthy