Optimization is a powerful paradigm for expressing and solving problems in a wide range of areas, and has been successfully applied to many vision problems. Discrete optimization ...
We present a new segmentation algorithm based on probabilistic histograms and introduce certainty calculus and certainty color maps to solve the difficult problem of histogram sep...
In this paper we present the work done at the Canadian Space Agency on the problem of planetary exploration. One of the main goals is the over-the-horizon navigation of a mobile r...
Ioannis M. Rekleitis, Jean-Luc Bedwani, Erick Dupu...
Abstract. Segmentation of magnetic resonance imaging (MRI) data entails assigning tissue class labels to voxels. The primary source of segmentation error is the partial volume eff...
Monaural speech segregation in reverberant environments is a very difficult problem. We develop a supervised learning approach by proposing an objective function that directly rel...