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BMCBI
2007
178views more  BMCBI 2007»
15 years 5 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
TIP
2002
105views more  TIP 2002»
15 years 4 months ago
Tree-structured method for LUT inverse halftoning and for image halftoning
1 Recently the authors proposed a Look Up Table (LUT) based method for inverse halftoning of images. The LUT for inverse halftoning is obtained from the histogram gathered from a f...
Murat Mese, Palghat P. Vaidyanathan
GIS
2004
ACM
16 years 6 months ago
Adaptive hierarchical RBF interpolation for creating smooth digital elevation models
This paper presents a fast algorithm for smooth digital elevation model interpolation and approximation from scattered elevation data. The global surface is reconstructed by subdi...
Joachim Pouderoux, Jean-Christophe Gonzato, Ireneu...
DAC
2004
ACM
16 years 6 months ago
A method to decompose multiple-output logic functions
This paper shows a method to decompose a given multipleoutput circuit into two circuits with intermediate outputs. We use a BDD for characteristic function (BDD for CF) to represe...
Tsutomu Sasao, Munehiro Matsuura
ICML
2006
IEEE
16 years 5 months ago
Inference with the Universum
In this paper we study a new framework introduced by Vapnik (1998) and Vapnik (2006) that is an alternative capacity concept to the large margin approach. In the particular case o...
Fabian H. Sinz, Jason Weston, Léon Bottou, ...