We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
We present a design style and synthesis algorithm that encompasses both asynchronous and synchronous state machines. Our proposed design style not only supports generalized “bur...
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
An appearance-based face authentication system integrating 2D color or intensity images and 3D data is presented in this paper. The proposed system is based on a low-cost 3D and c...
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...