SSPR
2000
Springer
13 years 8 months ago
2000
Springer
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
In many applications, objects are represented by a collection of unorganized points that scan the surface of the object. In such cases, an efficient way of storing this information...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
Abstract. For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the proba...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
A model based structural recognition approach is used for 3D detection and localization of vehicles. It is theoretically founded by syntactic pattern recognition using coordinate g...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
Our research focuses on Chinese online ink matching that tries to match handwritten annotations with handwritten queries without attempting to recognize them. Previously, we propos...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
We consider the problem and issues of classifier fusion and discuss how they should be reflected in the fusion system architecture. We adopt the Bayesian viewpoint and show how thi...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At p...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
Comparisons made in two studies of 21 methods for finding prototypes upon which to base the nearest prototype classifier are discussed. The criteria used to compare the methods are...
SSPR
2000
Springer
13 years 8 months ago
2000
Springer
Abstract. Recently, a number of authors have explored the use of recursive recursive neural nets (RNN) for the adaptive processing of trees or tree-like structures. One of the most...