PAMI
2002
13 years 11 months ago
2002
Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techn...
MCS
2002
Springer
13 years 11 months ago
2002
Springer
Abstract. Recent findings in the domain of combining classifiers provide a surprising revision of the usefulness of diversity for modelling combined performance. Although there is ...
MCS
2002
Springer
13 years 11 months ago
2002
Springer
In this paper, an experimental comparison between fixed and trained fusion rules for multimodal personal identity verification is reported. We focused on the behaviour of the consi...
MCS
2002
Springer
13 years 11 months ago
2002
Springer
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
MCS
2002
Springer
13 years 11 months ago
2002
Springer
MCS
2002
Springer
13 years 11 months ago
2002
Springer
In classifier combining, one tries to fuse the information that is given by a set of base classifiers. In such a process, one of the difficulties is how to deal with the variabilit...
MCS
2002
Springer
13 years 11 months ago
2002
Springer
Abstract. While a variety of multiple classifier systems have been studied since at least the late 1950's, this area came alive in the 90's with significant theoretical a...
MCS
2002
Springer
13 years 11 months ago
2002
Springer
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers f...
MCS
2002
Springer
13 years 11 months ago
2002
Springer
Abstract. We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm det...
MCS
2002
Springer
13 years 11 months ago
2002
Springer
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...