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SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
16 years 17 days ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
ACCV
2006
Springer
16 years 16 days ago
3D Shape Recovery of Smooth Surfaces: Dropping the Fixed Viewpoint Assumption
We present a new method for recovering the 3D shape of a featureless smooth surface from three or more calibrated images. The main contribution of this paper is the ability to hand...
Yael Moses, Ilan Shimshoni
ASPDAC
2006
ACM
98views Hardware» more  ASPDAC 2006»
16 years 16 days ago
Timing-driven placement based on monotone cell ordering constraints
− In this paper, we present a new timing-driven placement algorithm, which attempts to minimize zigzags and crisscrosses on the timing-critical paths of a circuit. We observed th...
Chanseok Hwang, Massoud Pedram
DOCENG
2006
ACM
16 years 16 days ago
Minimum sized text containment shapes
In many text-processing applications, we would like shapes that expand (or shrink) in size to fit their textual content. We address how to efficiently compute the minimum size fo...
Nathan Hurst, Kim Marriott, Peter Moulder
ICML
2006
IEEE
16 years 16 days ago
Multiclass reduced-set support vector machines
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
Benyang Tang, Dominic Mazzoni
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