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ICCS
2007
Springer
15 years 7 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
EMMCVPR
1999
Springer
15 years 5 months ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
NIPS
2004
15 years 2 months ago
Parallel Support Vector Machines: The Cascade SVM
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
Hans Peter Graf, Eric Cosatto, Léon Bottou,...
IAJIT
2008
207views more  IAJIT 2008»
15 years 1 months ago
Neural Networks and Support Vector Machines Classifiers for Writer Identification Using Arabic Script
: In this paper, we present an approach for writer identification carried out using off-line Arabic handwriting. Our proposed method is based on the combination of global and struc...
Sami Gazzah, Najoua Essoukri Ben Amara
IJON
2007
106views more  IJON 2007»
15 years 1 months ago
Forecasting the CATS benchmark with the Double Vector Quantization method
The Double Vector Quantization (DVQ) method, a long-term forecasting method based on the self-organizing maps algorithm, has been used to predict the 100 missing values of the CAT...
Geoffroy Simon, John Aldo Lee, Marie Cottrell, Mic...