A successful class of image denoising methods is based on Bayesian approaches working in wavelet representations. The performance of these methods improves when relations among th...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
The research presented in this paper is an examination of how the concepts used in process improvement may be applied to a web form to improve design and usability. Although much ...
Skeletons are often used as a framework for part-based shape description and matching. This paper describes some useful strategies that can be employed to improve the performance ...
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...