IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
Sign language recognition constitutes a challenging field of research in computer vision. Common problems like overlap, ambiguities, and minimal pairs occur frequently and require...
IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
In this paper, we present how appearance-based features can be used for the recognition of words in American sign language (ASL) from a video stream. The features are extracted wit...
IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. Two extensions of the original Wilson’s editing method are introduced in this paper. These new algorithms are based on estimating probabilities from the k-nearest neigh...
IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and...
IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
Abstract. This article presents the results of an unsupervised segmentation algorithm in multispectral images. The algorithm uses a minimization function which takes into account e...
IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
This paper presents a technique to characterize human actions in visual surveillance scenarios in order to describe, in a qualitative way, basic human movements in general imaging ...
IBPRIA
2005
Springer
14 years 6 months ago
2005
Springer
The processing, description and recognition of dynamic (time-varying) textures are new exciting areas of texture analysis. Many real-world textures are dynamic textures whose retri...