We address the problem of merging qualitative constraints networks (QCNs). We point out a merging algorithm which computes a consistent QCN representing a global view of the input...
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
The World Wide Web is a large, heterogeneous, distributedcollectionof documents connected by hypertext links. The most common technologycurrently used for searching the Web depend...
Alberto O. Mendelzon, George A. Mihaila, Tova Milo
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. As an extension of Welling and ...
Abstract—We study the problem of contour tracking with binary sensors, an important problem for monitoring spatial signals and tracking group targets. In particular, we track the...
Xianjin Zhu, Rik Sarkar, Jie Gao, Joseph S. B. Mit...