MCS
2004
Springer
14 years 4 months ago
2004
Springer
This paper describes a method for fusing a collection of classifiers where the fusion can compensate for some positive correlation among the classifiers. Specifically, it does not ...
MCS
2004
Springer
14 years 4 months ago
2004
Springer
MCS
2004
Springer
14 years 4 months ago
2004
Springer
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...
MCS
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
MCS
2004
Springer
14 years 4 months ago
2004
Springer
Recent works about perceptron-based fusion of multiple fingerprint matchers showed the effectiveness of such approach in improving the performance of personal identity verification...
GECCO
2004
Springer
14 years 5 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
AIRS
2004
Springer
14 years 5 months ago
2004
Springer
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
WIDM
2004
ACM
14 years 5 months ago
2004
ACM
The explosive growth of the web is at the basis of the great interest into web usage mining techniques in both commercial and research areas. In this paper, a web personalization ...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
In this work we consider the task of relaxing the i.i.d assumption in online pattern recognition (or classification), aiming to make existing learning algorithms applicable to a ...
VLBV
2005
Springer
14 years 5 months ago
2005
Springer
We vary the quantization parameter in H.264 video encoding by increasing it by a well-chosen offset in every other frame, which we call reduced frames. As the motion compensation ...