The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Most information retrieval settings, such as web search, are typically precision-oriented, i.e. they focus on retrieving a small number of highly relevant documents. However, in sp...
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
: Empirical analyses of the IDDQ signatures of 0.18 µm devices indicate that IDDQ currents exhibit hysteresis. A newly proposed test method, SPIRIT (Single Pattern Iteration IDDQ ...
The problem of automatic text segmentation is subcategorized into two different problems: thematic segmentation into rather large topically selfcontained sections and splitting int...