30 search results - page 2 / 6 » Learning to Segment Any Random Vector |
100
Voted
ISBI
2008
IEEE
16 years 1 months ago
2008
IEEE
This paper describes a general purpose algorithm to segment any kind of lesions in CT images. The algorithm expects a click or a stroke inside the lesion from the user and learns ...
108
Voted
ALT
2001
Springer
15 years 10 months ago
2001
Springer
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
108
Voted
SDM
2009
SIAM
15 years 10 months ago
2009
SIAM
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
111
Voted
DAGM
2004
Springer
15 years 6 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
110
Voted
ALT
2000
Springer
15 years 10 months ago
2000
Springer
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...