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AUTOMATICA
2006
132views more  AUTOMATICA 2006»
13 years 7 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
ENTCS
2006
140views more  ENTCS 2006»
13 years 7 months ago
A Library for Self-Adjusting Computation
We present a Standard ML library for writing programs that automatically adjust to changes to their data. The library combines modifiable references and memoization to achieve eff...
Umut A. Acar, Guy E. Blelloch, Matthias Blume, Rob...
SIGPRO
2010
135views more  SIGPRO 2010»
13 years 6 months ago
A short note on compressed sensing with partially known signal support
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
Laurent Jacques
ICRA
2010
IEEE
110views Robotics» more  ICRA 2010»
13 years 6 months ago
On-line calibration of multiple LIDARs on a mobile vehicle platform
— In this paper, we examine the problem of extrinsic calibration of multiple LIDARs on a mobile vehicle platform. To achieve fully automated and on-line calibration, the original...
Chao Gao, John R. Spletzer
JMLR
2008
168views more  JMLR 2008»
13 years 7 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...