We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Modeling and quantifying diļ¬erent human factors continue to be one of the major challenges in introducing new biometric systems. For example, drivers of some of our behavior diļ...
Medical imaging has made great technological breakthroughs in multimodal acquisition, visualization, and analysis with many complementary image modalities to non-invasively captur...
We consider routing methods for networks when geographic positions of nodes are available. Instead of using the original geographic coordinates, however, we precompute virtual coo...
A few 3D interactive modeling systems have been developed recently. Such systems must cope with a high flow of input measurements during the entire acquisition period. Therefore, ...