One of the principal bottlenecks in applying learning techniques to classification problems is the large amount of labeled training data required. Especially for images and video, ...
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
We describe the results of large-scale experiments with algorithms for unsupervised improvement of recognition of book-images using fully automatic mutual-entropy-based model adap...
State-of-the-art discovery of Semantic Web services is based on hybrid algorithms that combine semantic and syntactic matchmaking. These approaches are purely based on similarity m...
A lexical signature (LS) is a small set of terms derived from a document that capture the "aboutness" of that document. A LS generated from a web page can be used to disc...
— Management of power and other resources that effect field life is an important consideration in sensor networks. This paper presents and compares alternative agent paradigms ap...