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ICCS
2007
Springer
14 years 1 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
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...
ICRA
2006
IEEE
143views Robotics» more  ICRA 2006»
14 years 1 months ago
Evaluation of a Large Scale Pervasive Embedded Network for Robot Path Planning
— 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...
COLING
1996
13 years 9 months ago
An Empirical Architecture for Verb Subcategorization Frame - a Lexicon for a Real-world Scale Japanese-English Interlingual MT
The verb subcategorization frame information plays a major role of disambiguations in many NLP applications. Japanese, however, imposes difficulties of subcategorizing in part bec...
Naoyuki Nomura, Kazunori Muraki
JMLR
2006
156views more  JMLR 2006»
13 years 7 months ago
Large Scale Multiple Kernel Learning
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 ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
SIAMSC
2008
182views more  SIAMSC 2008»
13 years 7 months ago
A Distributed SDP Approach for Large-Scale Noisy Anchor-Free Graph Realization with Applications to Molecular Conformation
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...
Pratik Biswas, Kim-Chuan Toh, Yinyu Ye