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» Using Data Mining to Estimate Missing Sensor Data
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CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
15 years 23 days ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu
70
Voted
AUTOMATICA
2008
107views more  AUTOMATICA 2008»
14 years 9 months ago
Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond
This paper consists of two parts. The first part is the development of a datadriven Kalman filter for a non-uniformly sampled multirate (NUSM) system, including identification of ...
Weihua Li, Sirish L. Shah, Deyun Xiao
CVPR
2011
IEEE
14 years 4 months ago
Radiometric Calibration by Transform Invariant Low-rank Structure
We present a robust radiometric calibration method that capitalizes on the transform invariant low-rank structure of sensor irradiances recorded from a static scene with different...
Joon-Young Lee, Boxin Shi, Yasuyuki Matsushita, In...
WSDM
2009
ACM
161views Data Mining» more  WSDM 2009»
15 years 4 months ago
Predicting the readability of short web summaries
Readability is a crucial presentation attribute that web summarization algorithms consider while generating a querybaised web summary. Readability quality also forms an important ...
Tapas Kanungo, David Orr
ICIP
2010
IEEE
14 years 7 months ago
Plenoptic based super-resolution for omnidirectional image sequences
This paper addresses the reconstruction of high resolution omnidirectional images from a low resolution video acquired by an omnidirectional camera moving in a static scene. In or...
Luigi Bagnato, Yannick Boursier, Pascal Frossard, ...