In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
: This paper presents a novel adaptive course composition system that based on mashing up learning content in a web application. The system includes three major components, static ...
Face hallucination is to reconstruct a high-resolution face image from a low-resolution one based on a set of high- and low-resolution training image pairs. This paper proposes an ...
The modern world continues to change as Information Technology (IT) related applications proceed to evolve at a rapid pace. The need for IT continues to grow as we begin to meaning...
Daniela Marghitu, Elizabeth Zylla-Jones, Santosh B...
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...