Background: The recent increase in the use of high-throughput two-hybrid analysis has generated large quantities of data on protein interactions. Specifically, the availability of...
In this paper, we aim to detect human in video over large viewpoint changes which is very challenging due to the diversity of human appearance and motion from a wide spread of view...
In this paper we present an approach to recognition confidence scoring and a set of techniques for integrating confidence scores into the understanding and dialogue components of ...
Timothy J. Hazen, Stephanie Seneff, Joseph Polifro...
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Conventional methods for recognizing multiple fonts and handwriting are generally robust against deformation but are weak against degradation. This paper proposes a category-depen...