Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
We discuss description and reasoning over regions. We have proposed a system called SRCC that integrates integration of spatial and semantic data. SRCC can describe and reason abo...
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
People often seek information by asking other people even when they have access to vast reservoirs of information such as the Internet and libraries. This is because people are gr...