Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
The development of flexible and reusable concurrent object-oriented programming ions has suffered from the inherent problem that reusability and extensibility is limited due to pos...
Content personalization is a very important aspect in the field of e-learning, although current standards do not fully support it. In this paper, we outline an extension to the AD...
This paper presents a novel discriminative learning method, called Manifold Discriminant Analysis (MDA), to solve the problem of image set classification. By modeling each image s...
In this paper we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...