1547 search results - page 173 / 310 » Learning a Classification Model for Segmentation |
140
Voted
BMCBI
2006
15 years 5 months ago
2006
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
148
click to vote
VISAPP
2007
15 years 6 months ago
2007
We introduce one module in a cognitive system that learns the shape of objects by active exploration. More specifically, we propose a feature tracking scheme that makes use of the...
160
click to vote
ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
147
click to vote
IJON
2008
15 years 5 months ago
2008
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
138
click to vote
ICML
2002
IEEE
16 years 5 months ago
2002
IEEE
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...