Abstract. Recently, an energy-based unified framework for image denoising was proposed by Mr´azek et al. [10], from which existing nonlinear filters such as M-smoothers, bilater...
Luis Pizarro, Stephan Didas, Frank Bauer, Joachim ...
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
This paper presents a theoretical framework for ranking, and demonstrates how to perform generalization analysis of listwise ranking algorithms using the framework. Many learning-...
Background: Investigators in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. I...
Michael C. Wendl, Scott Smith, Craig S. Pohl, Davi...
We propose a new functional framework for modeling, querying and reasoning about OLAP databases. The framework represents data (data cubes and dimensional hierarchies) and queryin...