681 search results - page 2 / 137 » Training Invariant Support Vector Machines |
ANNPR
2006
Springer
13 years 11 months ago
2006
Springer
We discuss incremental training of support vector machines in which we approximate the regions, where support vector candidates exist, by truncated hypercones. We generate the trun...
AAAI
2006
13 years 8 months ago
2006
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...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we propose an efficient and robust fall detection system by using a fuzzy one class support vector machine based on video information. Two cameras are used to capt...
ICANN
2001
Springer
13 years 12 months ago
2001
Springer
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...