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» Robust kernel density estimation
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ICCV
2009
IEEE
13 years 7 months ago
Component analysis approach to estimation of tissue intensity distributions of 3D images
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
Arridhana Ciptadi, Cheng Chen, Vitali Zagorodnov
ASPDAC
2006
ACM
159views Hardware» more  ASPDAC 2006»
14 years 3 months ago
Compact thermal models for estimation of temperature-dependent power/performance in FinFET technology
: With technology scaling, elevated temperatures caused by increased power density create a critical bottleneck modulating the circuit operation. With the advent of FinFET technolo...
Aditya Bansal, Mesut Meterelliyoz, Siddharth Singh...
DSP
2006
13 years 10 months ago
On the application of cross correlation function to subsample discrete time delay estimation
Cross correlation function (CCF) of signals is an important tool of multi-sensors signal processing. Parabola functions are commonly used as parametric models of the CCF in time d...
Lei Zhang 0006, Xiaolin Wu
GI
2009
Springer
14 years 1 months ago
Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov...
PAMI
2010
132views more  PAMI 2010»
13 years 8 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel