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» Coupling Statistical Segmentation and PCA Shape Modeling
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ICPR
2006
IEEE
14 years 8 months ago
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
Andreas Herzog, Bernd Michaelis, Gerald Krell, Kat...
GLVLSI
2006
IEEE
144views VLSI» more  GLVLSI 2006»
14 years 1 months ago
Crosstalk analysis in nanometer technologies
Process variations have become a key concern of circuit designers because of their significant, yet hard to predict impact on performance and signal integrity of VLSI circuits. St...
Shahin Nazarian, Ali Iranli, Massoud Pedram
CVPR
2012
IEEE
12 years 1 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or
CVIU
2006
166views more  CVIU 2006»
13 years 7 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...
CVPR
1999
IEEE
14 years 9 months ago
Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence
We1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial bor...
Max Mignotte, Jean Meunier