Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
: From the least to most prominent elements, documents are arranged in a tacit visual hierarchy. This is essential for document scanning and comprehension. This conceptual structur...
Helen Balinsky, Anthony Wiley, Michael Rhodes, Alf...
Abstract. Scene structuring is a video analysis task for which no common evaluation procedures have been fully adopted. In this paper, we present a methodology to evaluate such tas...
Daniel Gatica-Perez, Napat Triroj, Jean-Marc Odobe...
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...