Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abstract. In this paper we propose an approach to deal with the ChineseEnglish cross-language image retrieval problem. Text-based image retrieval and query translation methods were...
We consider the problem of decoupling translation and rotation for a collection of 3D data related to 2D images by a projection. The main contribution is to show that equations de...
Jean-Yves Guillemaut, Alberto S. Aguado, John Illi...
The goal of this work is the automatic inference of frequent patterns of the cortical sulci, namely patterns that can be observed only for a subset of the population. The sulci are...
This paper presents a closed edge detection method based on a level lines selection approach. The proposed method is based on an unsupervised probabilistic scheme using an a contra...