594 search results - page 56 / 119 » Feature Selection for Value Function Approximation Using Bay... |
127
Voted
ICML
1994
IEEE
15 years 5 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
88
Voted
ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
A robust modelling method for detecting and measuring isotropic, linear features and bifurcations is described and applied to analysing 2d eletrophoresis and retinal images. Featu...
193
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
113
Voted
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
110
click to vote
CGI
2004
IEEE
15 years 6 months ago
2004
IEEE
This paper presents a new algorithm and technique for rendering triangular surfaces in pen-and-ink edge-based strokes. Our technique integrates two very important illustration str...