160 search results - page 5 / 32 » A Very Fast Learning Method for Neural Networks Based on Sen... |
171
Voted
ML
2008
ACM
15 years 3 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
122
Voted
MICCAI
2002
Springer
16 years 4 months ago
2002
Springer
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
129
Voted
ICIP
2002
IEEE
16 years 5 months ago
2002
IEEE
We present a hybrid and parallel system based on artificial neural networks for a face invariant classifier and general pattern recognition problems. A set of face features is ext...
157
Voted
SCIA
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
105
Voted
NIPS
2001
15 years 5 months ago
2001
We present a new approach to bounding the true error rate of a continuous valued classifier based upon PAC-Bayes bounds. The method first constructs a distribution over classifier...