How can it be said that texts are "near" or "distant" from one another? Are different texts by a single author more similar than texts by different authors? To...
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
In this work, we explore the use of a learning-based framework for retrieval of relevant mammogram images from a database, for purposes of aiding diagnoses. A fundamental issue is...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
In this paper, we propose a new method to model the manifold of handwritten Chinese characters using the local discriminant projection. We utilize a cascade framework that combine...
Abstract. We present a prototype system for organization and exploration of music archives that adapts to the user's way of structuring music collections. Initially, a growing...