The necessity for improved players and opponents in firstperson entertainment-based real-time artificial environments has inspired our research into artificial game players. We em...
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...
—In this paper, the IEEE 802.16 protocol is investigated with respect to the bandwidth provision problem arising at the Medium Access Control (MAC) layer. The aim is to optimally...
— Ensembles are often capable of greater predictive accuracy than any of their individual members. One key attribute of ensembles’ success is the notion of diversity. However, ...