In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
End-user service composition is a promising way to ensure flexible, quick and personalized information provision and utilization, and consequently to better cope with spontaneous ...
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
This paper presents RDSS, a Resource Area Network (RAN)-based Distributed Storage System, which is designed for high scalability, long-term reliability, and operational efficiency...
We demonstrate a phonotactic-semantic paradigm for spoken document categorization. In this framework, we define a set of acoustic words instead of lexical words to represent acous...