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» A Support Vector Method for Clustering
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AAAI
2006
14 years 11 months ago
Robust Support Vector Machine Training via Convex Outlier Ablation
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
Linli Xu, Koby Crammer, Dale Schuurmans
ESANN
2007
14 years 11 months ago
The Intrinsic Recurrent Support Vector Machine
In this work, we present a new model for a Recurrent Support Vector Machine. We call it intrinsic because the complete recurrence is directly incorporated within the considered opt...
Daniel Schneegaß, Anton Maximilian Schä...
TVCG
2008
123views more  TVCG 2008»
14 years 9 months ago
Using Visual Design Experts in Critique-Based Evaluation of 2D Vector Visualization Methods
Abstract-- We describe an experiment in which art and illustration experts evaluated six 2D vector visualization methods. We found that these expert critiques mirrored previously r...
Daniel Acevedo Feliz, Cullen D. Jackson, Fritz Dru...
MICCAI
2002
Springer
15 years 10 months ago
Comparative Exudate Classification Using Support Vector Machines and Neural Networks
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
Alireza Osareh, Majid Mirmehdi, Barry T. Thomas, R...
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ICANN
2001
Springer
15 years 2 months ago
Fast Training of Support Vector Machines by Extracting Boundary Data
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
Shigeo Abe, Takuya Inoue