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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 5 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
KSEM
2009
Springer
13 years 12 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
SIAMIS
2008
116views more  SIAMIS 2008»
13 years 5 months ago
Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography and Mixed Variable Optimization
This paper introduces a new approach to the problem of quantitative reconstruction of an object from few radiographic views. A mixed variable programming problem is formulated in ...
Mark A. Abramson, Thomas J. Asaki, J. E. Dennis, K...
ISPD
2000
ACM
113views Hardware» more  ISPD 2000»
13 years 9 months ago
Floorplan area minimization using Lagrangian relaxation
modules can be handled in constraint graphs efficiently. This Floorplan area minimization is an important problem because many modules have shape flexibilities during the floorplan...
Fung Yu Young, Chris C. N. Chu, W. S. Luk, Y. C. W...
ICASSP
2008
IEEE
13 years 12 months ago
Cooperative MIMO-beamforming for multiuser relay networks
In this paper, we develop a beamforming algorithm for multiuser MIMO-relaying wireless systems. We consider a relaying scenario with multiple sources transmitting to one or more d...
Amr El-Keyi, Benoît Champagne