Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...
In this paper we study various chain codes, which are representations of binary image contours, in terms of their ability to compress in the best way the contour information using...
Here we show that a notion of congruence in statistical structureacross2 0frequency bandsproduces a useful definition of visualpatterns for perceiving target distinctness. In orde...
J. Chamorro, Javier Martinez-Baena, Rosa Rodriguez...
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...