711 search results - page 93 / 143 » Applying Support Vector Machines to Imbalanced Datasets |
BMCBI
2008
13 years 10 months ago
2008
Background: Nonnegative matrix factorization (NMF) is a feature extraction method that has the property of intuitive part-based representation of the original features. This uniqu...
ICIP
2005
IEEE
14 years 11 months ago
2005
IEEE
Histogram Intersection (HI) kernel has been recently introduced for image recognition tasks. The HI kernel is proved to be positive definite and thus can be used in Support Vector ...
IJCAI
2007
13 years 11 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
CVPR
2008
IEEE
15 years 8 days ago
2008
IEEE
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
ICASSP
2009
IEEE
14 years 5 months ago
2009
IEEE
We present a system that detects human falls in the home environment, distinguishing them from competing noise, by using only the audio signal from a single far-field microphone....