Abstract. We have investigated a combination of statistical modelling and expectation maximisation for a texture based approach to the segmentation of mammographic images. Texture ...
Reyer Zwiggelaar, Lilian Blot, David Raba, Erika R...
Abstract. In a previous work, a new probabilistic context-free grammar (PCFG) model for natural language parsing derived from a tree bank corpus has been introduced. The model esti...
A wide variety of texture feature extraction methods have been proposed for texture based image classification and segmentation. These methods are typically evaluated over windows...
Abstract. This paper is a review of works about the use of the logpolar image model for pattern recognition purposes. Particular attention is paid to the rotation- and scale-invari...
In statistical machine translation, single-word based models have an important deficiency; they do not take contextual information into account for the translation decision. A poss...
This paper describes the implementation details of a coded structured light system useful for one-shot measurements of a surface. Since a unique pattern is projected, the technique...
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
Abstract. This paper addresses the problem of reconstructing textureless objects of quadric like shape. It is known that a quadric can be uniquely recovered from its apparent conto...
Abstract. This paper presents a new framework for the motion segmentation and estimation task on sequences of two grey images without a priori information of the number of moving r...
This paper presents a system for 3D ultrasound which aims to reconstruct a volume of interest from a set of ultrasound images. A Bayesian reconstruction algorithm has been recently...