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SSPR
2004
Springer
14 years 2 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
ICPR
2002
IEEE
14 years 2 months ago
Constrained Structure and Motion Estimation from Optical Flow
Unbiased and consistent estimates of structure and motion can be obtained by least squares minimization of the differential epipolar constraint. Previous work on this subject does...
Marco Zucchelli, José Santos-Victor, Henrik...
IFIP7
2001
Springer
137views Optimization» more  IFIP7 2001»
14 years 1 months ago
Data Mining via Support Vector Machines
Support vector machines (SVMs) have played a key role in broad classes of problems arising in various fields. Much more recently, SVMs have become the tool of choice for problems...
Olvi L. Mangasarian
ER
1999
Springer
146views Database» more  ER 1999»
14 years 1 months ago
"Modeling-by-Patterns" of Web Applications
“A pattern ... describes a problem which occurs over and over again in our environment, and then describes the core of the solution to that problem, in such a way that you can us...
Franca Garzotto, Paolo Paolini, Davide Bolchini, S...
SAT
2010
Springer
136views Hardware» more  SAT 2010»
14 years 1 months ago
A Non-prenex, Non-clausal QBF Solver with Game-State Learning
Abstract. We describe a DPLL-based solver for the problem of quantified boolean formulas (QBF) in non-prenex, non-CNF form. We make two contributions. First, we reformulate clause...
William Klieber, Samir Sapra, Sicun Gao, Edmund M....