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» The Measurable Space of Stochastic Processes
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DAGM
2010
Springer
13 years 11 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
DSP
2007
13 years 9 months ago
Knowledge based adaptive processing for ground moving target indication
This paper presents a preliminary knowledge based approach to Space-Time Adaptive Processing (STAP) for ground moving target indication from an airborne platform. The KB-processor...
Raviraj Adve, Todd Hale, Michael C. Wicks
ICIP
2005
IEEE
14 years 3 months ago
Medical image registration based on random line sampling
One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distribute...
Anton Bardera, Miquel Feixas, Imma Boada, Mateu Sb...
DAC
2006
ACM
14 years 11 months ago
Statistical logic cell delay analysis using a current-based model
A statistical model for the purpose of logic cell timing analysis in the presence of process variations is presented. A new current-based cell delay model is utilized, which can a...
Hanif Fatemi, Shahin Nazarian, Massoud Pedram
BMCBI
2006
127views more  BMCBI 2006»
13 years 10 months ago
On the attenuation and amplification of molecular noise in genetic regulatory networks
Background: Noise has many important roles in cellular genetic regulatory functions at the nanomolar scale. At present, no good theory exists for identifying all possible mechanis...
Bor-Sen Chen, Yu-Chao Wang