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» Kernel Conjugate Gradient for Fast Kernel Machines
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ICPR
2008
IEEE
14 years 1 months ago
A fast revised simplex method for SVM training
Active set methods for training the Support Vector Machines (SVM) are advantageous since they enable incremental training and, as we show in this research, do not exhibit exponent...
Christopher Sentelle, Georgios C. Anagnostopoulos,...
IPPS
1998
IEEE
13 years 11 months ago
Optimal Communication Performance on Fast Ethernet with GAMMA
Abstract. The current prototype of the Genoa Active Message MAchine GAMMA is a low-overhead, Active Messages-based inter-process communication layer implemented mainly at kernel le...
Giuseppe Ciaccio
ICASSP
2011
IEEE
12 years 11 months ago
Fast discriminative speaker verification in the i-vector space
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...
Sandro Cumani, Niko Brümmer, Lukas Burget, Pi...
ICIP
2008
IEEE
14 years 9 months ago
The Marr wavelet pyramid
We introduce a new semi-orthogonal complex wavelet basis of L2(R2 ). The basis functions are associated to the complex gradient-Laplace operator, which plays a central role in ima...
Dimitri Van De Ville, Michael Unser
DICTA
2003
13 years 8 months ago
Algebraic Curve Fitting Support Vector Machines
An algebraic curve is defined as the zero set of a multivariate polynomial. We consider the problem of fitting an algebraic curve to a set of vectors given an additional set of v...
Christian J. Walder, Brian C. Lovell, Peter J. Koo...