Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Most algorithms for extracting illuminant chromaticity from arbitrary images, such as the images found on the web, are based on machine learning techniques. We will show how a phy...
Cameras provide an appealing new input medium for interaction. The creation of camera-based interfaces is outside the skill-set of most programmers and completely beyond the skill...
Number and date expressions are essential information items in corpora and therefore play a major role in various text mining applications. However, so far number expressions were ...
Abstract. We derive upper and lower bounds for some statistical estimation problems. The upper bounds are established for the Gibbs algorithm. The lower bounds, applicable for all ...