This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
Global software development is rapidly becoming the norm for technology companies. Previous qualitative research suggests that multi-site development may increase development cycl...
James D. Herbsleb, Audris Mockus, Thomas A. Finhol...
In this paper, we address the problem of detecting pedestrians in crowded real-world scenes with severe overlaps. Our basic premise is that this problem is too difficult for any t...
Although, many organisations have implemented technical solutions to protect information resources from adverse events, internal security breaches continue to occur. Therefore an ...