610 search results - page 22 / 122 » Training a Selection Function for Extraction |
PAMI
2008
13 years 7 months ago
2008
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
GECCO
2009
Springer
14 years 8 days ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
ICAISC
2010
Springer
13 years 7 months ago
2010
Springer
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...