This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
This paper presents a new multiview alignment algorithm that performs both the coarse and fine alignment of unordered sets of range scans. Our algorithm selects quadruples of ran...
—Color models are often used for representing object appearance for foreground segmentation applications. The relationships between colors can be just as useful for object select...
The recognition of script in historical documents requires suitable techniques in order to identify single words. Segmentation of lines and words is a challenging task because lin...