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MCS
2007
Springer
15 years 5 months ago
Computing the principal eigenvalue of the Laplace operator by a stochastic method
We describe a Monte Carlo method for the numerical computation of the principal eigenvalue of the Laplace operator in a bounded domain with Dirichlet conditions. It is based on th...
Antoine Lejay, Sylvain Maire
JMLR
2010
88views more  JMLR 2010»
15 years 28 days ago
Descent Methods for Tuning Parameter Refinement
This paper addresses multidimensional tuning parameter selection in the context of "train-validate-test" and K-fold cross validation. A coarse grid search over tuning pa...
Alexander Lorbert, Peter J. Ramadge
ECIR
2011
Springer
14 years 9 months ago
Combination of Feature Selection Methods for Text Categorisation
Feature selection plays a vital role in text categorisation. A range of different methods have been developed, each having unique properties and selecting different features. We ...
Robert Neumayer, Rudolf Mayer, Kjetil Nørv&...
JMLR
2012
13 years 8 months ago
Primal-Dual methods for sparse constrained matrix completion
We develop scalable algorithms for regular and non-negative matrix completion. In particular, we base the methods on trace-norm regularization that induces a low rank predicted ma...
Yu Xin, Tommi Jaakkola
166
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ISVC
2009
Springer
16 years 21 days ago
Two Step Variational Method for Subpixel Optical Flow Computation
We develop an algorithm for the super-resolution optical flow computation by combining variational super-resolution and the variational optical flow computation. Our method firs...
Yoshihiko Mochizuki, Yusuke Kameda, Atsushi Imiya,...