174 search results - page 23 / 35 » Incremental and Decremental Learning for Linear Support Vect... |
SMC
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
ICIAR
2004
Springer
14 years 28 days ago
2004
Springer
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensio...
ISCI
2007
13 years 7 months ago
2007
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...