SSPR
2004
Springer
14 years 24 days ago
2004
Springer
Concavity trees are structures for 2-D shape representation. In this paper, we present a new recursive method for concavity tree matching that returns the distance between two attr...
SSPR
2004
Springer
14 years 24 days ago
2004
Springer
Abstract. In this paper we derive an upper bound for the average-case generalization error of the mixture of experts modular neural network, based on an average-case generalization...
SSPR
2004
Springer
14 years 24 days ago
2004
Springer
We present results on an extension to our approach for automatic sports video annotation. Sports video is augmented with accelerometer data from wrist bands worn by umpires in the ...
SSPR
2004
Springer
14 years 24 days ago
2004
Springer
NN
2004
Springer
14 years 24 days ago
2004
Springer
Abstract. In this paper we give some pedagogical explanation of those situations where the use of redundant or almost-redundant information can improve the recognition rates of pat...
MCS
2004
Springer
14 years 24 days ago
2004
Springer
Atypical observations, which are called outliers, are one of difficulties to apply standard Gaussian density based pattern classification methods. Large number of outliers makes di...
MCS
2004
Springer
14 years 24 days ago
2004
Springer
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
MCS
2004
Springer
14 years 24 days ago
2004
Springer
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
MCS
2004
Springer
14 years 24 days ago
2004
Springer
Abstract. One of the potential advantages of multiple classifier systems is an increased robustness to noise and other imperfections in data. Previous experiments on classificati...
MCS
2004
Springer
14 years 24 days ago
2004
Springer
Despite the good results provided by Dynamic Classifier Selection (DCS) mechanisms based on local accuracy in a large number of applications, the performances are still capable of ...