Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
— We investigate a technique that uses an embedded network deployed pervasively throughout an environment to aid robots in navigation. First, we show that the path computed by th...
Keith J. O'Hara, Victor Bigio, Shaun Whitt, Daniel...
The verb subcategorization frame information plays a major role of disambiguations in many NLP applications. Japanese, however, imposes difficulties of subcategorizing in part bec...
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
We propose a distributed algorithm for solving Euclidean metric realization problems arising from large 3D graphs, using only noisy distance information, and without any prior kno...