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» Optimal convex error estimators for classification
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JMLR
2006
143views more  JMLR 2006»
13 years 7 months ago
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
Régis Vert, Jean-Philippe Vert
ICASSP
2010
IEEE
13 years 7 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang
CDC
2010
IEEE
129views Control Systems» more  CDC 2010»
13 years 2 months ago
On optimal input signal design for frequency response estimation
This paper studies optimal input excitation design for parametric frequency response estimation. We will focus on least-squares estimation of Finite Impulse Response (FIR) models a...
Bo Wahlberg, Håkan Hjalmarsson, Petre Stoica
TIP
1998
159views more  TIP 1998»
13 years 7 months ago
An optimal quadtree-based motion estimation and motion-compensated interpolation scheme for video compression
Abstract—In this paper, we propose an optimal quadtree (QT)based motion estimator for video compression. It is optimal in the sense that for a given bit budget for encoding the d...
Guido M. Schuster, Aggelos K. Katsaggelos
JMLR
2008
117views more  JMLR 2008»
13 years 7 months ago
Active Learning by Spherical Subdivision
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
Falk-Florian Henrich, Klaus Obermayer