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COLING
2002
15 years 4 months ago
A Maximum Entropy-based Word Sense Disambiguation System
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
Armando Suárez, Manuel Palomar
IJON
2007
94views more  IJON 2007»
15 years 4 months ago
A method for speeding up feature extraction based on KPCA
Kernel principal component analysis (KPCA) extracts features of samples with an efficiency in inverse proportion to the size of the training sample set. In this paper, we develop...
Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Z...
140
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SIAMCO
2000
75views more  SIAMCO 2000»
15 years 4 months ago
Feedback Stabilization and Lyapunov Functions
Given a locally defined, nondifferentiable but Lipschitz Lyapunov function, we construct a (discontinuous) feedback law which stabilizes the underlying system to any given toleran...
F. H. Clarke, Yu. S. Ledyaev, L. Rifford, R. J. St...
PAMI
2011
14 years 12 months ago
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
—Optical flow estimation is classically marked by the requirement of dense sampling in time. While coarse-to-fine warping schemes have somehow relaxed this constraint, there is...
Thomas Brox, Jitendra Malik
ICASSP
2011
IEEE
14 years 8 months ago
USPACOR: Universal sparsity-controlling outlier rejection
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...
Georgios B. Giannakis, Gonzalo Mateos, Shahrokh Fa...