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ICCS
2007
Springer
13 years 11 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...
JCB
2007
198views more  JCB 2007»
13 years 5 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
CDC
2008
IEEE
217views Control Systems» more  CDC 2008»
13 years 5 months ago
An ensemble Kalman filtering approach to highway traffic estimation using GPS enabled mobile devices
Traffic state estimation is a challenging problem for the transportation community due to the limited deployment of sensing infrastructure. However, recent trends in the mobile pho...
Daniel B. Work, Olli-Pekka Tossavainen, Sebastien ...
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
14 years 6 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 6 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny