310 search results - page 51 / 62 » MuFeSaC: Learning When to Use Which Feature Detector |
ROCAI
2004
Springer
14 years 1 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Figure/ground assignment is a key step in perceptual organization which assigns contours to one of the two abutting regions, providing information about occlusion and all...
ECAI
2000
Springer
14 years 6 days ago
2000
Springer
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
CIKM
2000
Springer
14 years 6 days ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...