Experience-based continuous learning is essential for improving products, processes, and technologies in emerging as well as established areas of business and engineering science....
Andreas Jedlitschka, Klaus-Dieter Althoff, Bjö...
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
In this work, a laboratory of remote access is proposed to perform experiments using the Internet in order to facilitate the propagation of technical and scientific information an...
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman