2033 search results - page 267 / 407 » Semi-Supervised Support Vector Machines |
123
Voted
CORR
2008
Springer
15 years 3 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...
125
Voted
JMLR
2006
15 years 3 months ago
2006
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
141
Voted
JMLR
2006
15 years 3 months ago
2006
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
143
Voted
TKDD
2008
15 years 3 months ago
2008
We propose a novel privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns are divided into groups belonging to different entiti...
121
Voted
ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
—To operate autonomously in forested environments, unmanned ground vehicles (UGVs) must be able to identify the load-bearing surface of the terrain (i.e. the ground). This paper ...