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ICCV
2009
IEEE
15 years 1 months ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...
CVPR
2003
IEEE
14 years 10 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
ISBI
2004
IEEE
14 years 8 months ago
Speckle Reduction on Ultrasound Image by Variational Methods and Adaptive Lagrangian Multipliers
Ultrasound images are corrupted by a multiplicative noise, the speckle, which makes high level analysis difficult. Within each resolution cell a number of elementary scatterers re...
Arnaud Ogier, Pierre Hellier, Christian Barillot
SOCC
2008
IEEE
151views Education» more  SOCC 2008»
14 years 2 months ago
Failure analysis for ultra low power nano-CMOS SRAM under process variations
— Several design metrics have been used in the past to evaluate the SRAM cell stability. However, most of them fail to provide the exact stability figures as shown in this paper...
Jawar Singh, Jimson Mathew, Dhiraj K. Pradhan, Sar...
FPGA
2007
ACM
142views FPGA» more  FPGA 2007»
14 years 2 months ago
Parametric yield in FPGAs due to within-die delay variations: a quantitative analysis
Variations in the semiconductor fabrication process results in variability in parameters between transistors on the same die, a problem exacerbated by lithographic scaling. The re...
N. Pete Sedcole, Peter Y. K. Cheung