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» Level-set methods for convex optimization
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140
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ICML
2007
IEEE
16 years 4 months ago
Classifying matrices with a spectral regularization
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
Ryota Tomioka, Kazuyuki Aihara
PATMOS
2005
Springer
15 years 8 months ago
Power - Performance Optimization for Custom Digital Circuits
This paper presents a modular optimization framework for custom digital circuits in the power – performance space. The method uses a static timer and a nonlinear optimizer to max...
Radu Zlatanovici, Borivoje Nikolic
112
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Discriminative training by iterative linear programming optimization
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Brian Mak, Benny Ng
ICML
2005
IEEE
16 years 4 months ago
Implicit surface modelling as an eigenvalue problem
We discuss the problem of fitting an implicit shape model to a set of points sampled from a co-dimension one manifold of arbitrary topology. The method solves a non-convex optimis...
Christian Walder, Olivier Chapelle, Bernhard Sch&o...
145
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CGF
2010
135views more  CGF 2010»
15 years 3 months ago
Designing Quad-dominant Meshes with Planar Faces
We study the combined problem of approximating a surface by a quad mesh (or quad-dominant mesh) which on the one hand has planar faces, and which on the other hand is aestheticall...
Mirko Zadravec, Alexander Schiftner, Johannes Wall...