155 search results - page 9 / 31 » Sparse support vector machines trained in the reduced empiri... |
NECO
1998
13 years 8 months ago
1998
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
ICANN
2007
Springer
14 years 13 days ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
NN
2000
Springer
13 years 8 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
MM
2003
ACM
14 years 1 months ago
2003
ACM
In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representati...