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» A comparison of normal estimation schemes
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CSDA
2007
101views more  CSDA 2007»
13 years 7 months ago
The evaluation of evidence for exponentially distributed data
At present, likelihood ratios for two-level models are determined with the use of a normal kernel estimation procedure when the between-group distribution is thought to be non-nor...
C. G. G. Aitken, Qiang Shen, Richard Jensen, B. Ha...
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 8 months ago
On resampling and uncertainty estimation in Linear System Identification
Linear System Identification yields a nominal model parameter, which minimizes a specific criterion based on the single inputoutput data set. Here we investigate the utility of va...
Simone Garatti, Robert R. Bitmead
IWCM
2004
Springer
14 years 1 months ago
Towards a Multi-camera Generalization of Brightness Constancy
Standard optical flow methods for motion or disparity estimation use a brightness constancy constraint equation (BCCE). This BCCE either handles a moving camera imaging a non-movi...
Hanno Scharr
ICCAD
2007
IEEE
110views Hardware» more  ICCAD 2007»
14 years 4 months ago
A hybrid scheme for compacting test responses with unknown values
This paper presents a hybrid compaction scheme for test responses containing unknown values, which consists of a space compactor and an unknown-blocking Multiple Input Signature R...
Mango Chia-Tso Chao, Kwang-Ting Cheng, Seongmoon W...
ICASSP
2009
IEEE
14 years 2 months ago
Incremental predictive and adaptive noise compensation
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-re...
Federico Flego, Mark J. F. Gales