This thesis presents a novel dataset of 12,000 segmentations of 1,000 natural images by 30
human subjects. The subjects marked the locations of objects in the images, providing …

In this paper we will discuss the use of some graph-based representations and techniques
for image processing and analysis. Instead of making an extensive review of the graph …

Motivation: The study of sequence space, and the deciphering of the structure of protein
families and subfamilies, has up to now been required for work in comparative genomics …

In a clustering problem one has to partition a set of elements into homogeneous and well-
separated subsets. From a graph theoretic point of view, a cluster graph is a vertex-disjoint …

In this paper, we consider the finite sample properties of least-squares system identification,
and derive non-asymptotic confidence ellipsoids for the estimate. The shape of the …

We present a novel pairwise clustering method. Given a proximity matrix of pairwise
relations (ie pairwise similarity or dissimilarity estimates) between data points, our algorithm …

Exploiting Color and Topological Features for Region Segmentation with Recursive Fuzzy c-means
Page 1 Exploiting Color and Topological Features for Region Segmentation with Recursive …

Automatic document categorization plays a key role in the development of future interfaces
for Web-based search. Clustering algorithms are considered as a technology that is capable …

This paper investigates the text categorization capabilities of two special clustering
algorithms: Fuzzy k-Medoid and MAJORCLUST. Aside from quantifying the categorization …

It is of utmost importance in multimedia processing to achieve still image segmentation, ie, to
partition images into regions of coherent color and texture. In this paper we propose a novel …