155 search results - page 10 / 31 » Sparse support vector machines trained in the reduced empiri... |
ICML
2006
IEEE
14 years 2 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
ECCV
2000
Springer
14 years 10 months ago
2000
Springer
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
SAC
2009
ACM
14 years 3 months ago
2009
ACM
In active learning based music retrieval systems, providing multiple samples to the user for feedback is very necessary. In this paper, we present a new multi-samples selection st...
ICASSP
2011
IEEE
13 years 9 days ago
2011
IEEE
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...