174 search results - page 11 / 35 » Incremental and Decremental Learning for Linear Support Vect... |
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
ML
2008
ACM
13 years 7 months ago
2008
ACM
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
ECCV
2000
Springer
14 years 9 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...
NIPS
2000
13 years 9 months ago
2000
A new incremental learning algorithm is described which approximates the maximal margin hyperplane w.r.t. norm p 2 for a set of linearly separable data. Our algorithm, called alm...