This paper is aimed at understanding one central aspect of Bolzano’s views on deductive knowledge: what it means for a proposition and for a term to be known a priori. I argue t...
Estimation of Directions-Of-Arrival (DOA) is an important problem in various applications and a priori knowledge on the source location is sometimes available. To exploit this inf...
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
The frame of our work is the efficient realistic rendering of scenes containing a huge amount of data for which an a priori knowledge is available. In this paper, we present a new...
How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a c...
Abstract. Controlled Query Evaluation (CQE) offers a logical framework to prevent a user of a database from inadvertently gaining knowledge he is not allowed to know. By modeling t...
In this paper we address automated visual inspection of tablets that may, in contrast to manual tablet sorting, provide objective and reproducible tablet quality assurance. Visual...
Marko Bukovec, Ziga Spiclin, Franjo Pernus, Bostja...
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
We present a system that can segment articulated, non-rigid motion without a priori knowledge of the number of clusters present in the analyzed scenario. We combine existing algori...
There exist several approaches to improve the quality of evolution. In this paper, a priori design knowledge as a part of evolving systems is discussed. Further, experiments are r...