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» Learning to cluster using local neighborhood structure
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MICCAI
2007
Springer
15 years 10 months ago
Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree
Abstract. Automatic delineation and robust measurement of fetal anatomical structures in 2D ultrasound images is a challenging task due to the complexity of the object appearance, ...
Gustavo Carneiro, Bogdan Georgescu, Sara Good, Dor...
ISVC
2007
Springer
15 years 4 months ago
Interactive Glyph Placement for Tensor Fields
Visualization of glyphs has a long history in medical imaging but gains much more power when the glyphs are properly placed to fill the screen. Glyph packing is often performed vi...
Mario Hlawitschka, Gerik Scheuermann, Bernd Hamann
PEWASUN
2007
ACM
14 years 11 months ago
Analysis of the impact of hello protocol parameters over a wireless network self-organization
The neighborhood discovery and its maintenance are very important in wireless networks for any applications, especially for routing and every self-∗ algorithm. Neighbor nodes ar...
Tahiry Razafindralambo, Nathalie Mitton
CVPR
2004
IEEE
15 years 12 months ago
Capturing Image Structure with Probabilistic Index Maps
One of the major problems in modeling images for vision tasks is that images with very similar structure may locally have completely different appearance, e.g., images taken under...
Nebojsa Jojic, Yaron Caspi
ICC
2008
IEEE
167views Communications» more  ICC 2008»
15 years 4 months ago
Clustering Large Optical Networks for Distributed and Dynamic Multicast
—For a large-scale mesh network with dynamic traffic, maintaining the global state information in a centralized fashion is impractical. Hence, distributed schemes are needed to ...
Mohammad Masud Hasan, Jason P. Jue