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ICASSP
2009
IEEE
16 years 1 months ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe
KI
2009
Springer
16 years 1 months ago
Machine Learning Techniques for Selforganizing Combustion Control
Abstract. This paper presents the overall system of a learning, selforganizing, and adaptive controller used to optimize the combustion process in a hard-coal fired power plant. T...
Erik Schaffernicht, Volker Stephan, Klaus Debes, H...
ICASSP
2008
IEEE
16 years 1 months ago
Robust correlation analysis with an application to functional MRI
Correlation is often used to measure the similarity between signals and is an important tool in signal and image processing. In some applications it is common that signals are cor...
Joakim Rydell, Magnus Borga, Hans Knutsson
ICASSP
2008
IEEE
16 years 1 months ago
High-dynamic range compression using a fast multiscale optimization
to appear in Proc. IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing, March, 2008 High-dynamic-range medical images take intensity values which cannot be visualized o...
Matthieu Maitre, Yunqiang Chen, Tong Fang
ICASSP
2008
IEEE
16 years 1 months ago
Query adaptative locality sensitive hashing
It is well known that high-dimensional nearest-neighbor retrieval is very expensive. Many signal processing methods suffer from this computing cost. Dramatic performance gains can...
Herve Jegou, Laurent Amsaleg, Cordelia Schmid, Pat...
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