Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Digital camera sensors are inherently sensitive to the nearinfrared (NIR) part of the light spectrum. In this paper, we propose a general design for color filter arrays that allow...
This paper first presents a framework for filtering the Web Accessibility Guidelines according to contexts of use. It then presents a prototype that implements the framework and e...
Rehema Baguma, Roger G. Stone, Jude T. Lubega, Th....
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...