The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
When a paid price discount activity occurs, the decisionmaker must decide whether or not and when to pay the additional fees for preferential price in an online fashion. This prob...
We present a particle filter-based target tracking algorithm for FLIR imagery. A dual foreground and background model is proposed for target representation which supports robust ...
One of the challenges facing the on-line gaming community is the delivery of new content to players. While the initial distribution of a game is typically done via large media for...
In this paper, we propose a new character generation method from on-line handwriting recognizers based on Bayesian networks. On-line handwriting recognizers are trained with handw...