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ECCV
2008
Springer
16 years 6 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
ECCV
2006
Springer
16 years 6 months ago
Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...
Charles Florin, Nikos Paragios, James Williams
DAC
2009
ACM
16 years 6 months ago
Spare-cell-aware multilevel analytical placement
Post-silicon validation has recently drawn designers' attention due to its increasing impacts on the VLSI design cycle and cost. One key feature of the post-silicon validatio...
Zhe-Wei Jiang, Meng-Kai Hsu, Yao-Wen Chang, Kai-Yu...
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DAC
2005
ACM
16 years 6 months ago
An effective power mode transition technique in MTCMOS circuits
- The large magnitude of supply/ground bounces, which arise from power mode transitions in power gating structures, may cause spurious transitions in a circuit. This can result in ...
Afshin Abdollahi, Farzan Fallah, Massoud Pedram
MICCAI
2006
Springer
16 years 5 months ago
Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis
Spinal cord analysis is an important problem relating to the study of various neurological diseases. We present a novel approach to spinal cord segmentation in magnetic resonance i...
Chris McIntosh, Ghassan Hamarneh