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» Gaussian Processes for Object Categorization
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WSC
2007
15 years 1 days ago
Non-Gaussian asset allocation in the federal thrift savings plan
Historical data suggest that returns of stocks and indices are not distributed independent and identically Normal, as is commonly assumed. Instead, returns of financial assets are...
Scott T. Nestler
ICPR
2000
IEEE
15 years 10 months ago
Mixture Densities for Video Objects Recognition
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
Riad I. Hammoud, Roger Mohr
CVPR
2010
IEEE
15 years 5 months ago
Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework
We present a flexible method for fusing information from optical and range sensors based on an accelerated highdimensional filtering approach. Our system takes as input a sequen...
Jennifer Dolson, Jongmin Baek, Christian Plagemann...
IROS
2006
IEEE
87views Robotics» more  IROS 2006»
15 years 3 months ago
Unraveling of Deformable Linear Objects Based on 2D Information about Their Crossing States
— A planning method for unraveling deformable linear objects based on 2D information about their crossing states is proposed. In manipulation of a linear object, its raveling mus...
Hidefumi Wakamatsu, Akira Tsumaya, Eiji Arai, Shin...
ICASSP
2010
IEEE
14 years 10 months ago
On linear versus non-linear magnitude-DFT estimators and the influence of super-Gaussian speech priors
Although the linear mean-squared error (MSE) complex-DFT estimator, i.e., the Wiener filter, is well-known, its magnitude-DFT (MDFT) counterpart has never been considered in the ...
Richard C. Hendriks, Richard Heusdens