Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
Abstract Projects using geographic information tools involve a large variety of data objects, represented in different formats. Many efforts pursue standards to represent each kind...
Mesh simplification is a key research area in scientific visualizationand virtual reality. The paper presents a new method of polyhedral model simplification based on vision chara...
In this paper, a model is proposed for multi-agent probabilistic reasoning in a distributed environment. Unlike other methods, this model is capable of processing input in a truly...
We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we deve...