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» Generic Object Detection using Model Based Segmentation
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124
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ECCV
2006
Springer
16 years 4 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
111
Voted
BMCV
2000
Springer
15 years 7 months ago
Towards a Computational Model for Object Recognition in IT Cortex
First IEEE International Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000). There is considerable evidence that object recognition in primates is based o...
David G. Lowe
ASPLOS
2004
ACM
15 years 8 months ago
Low-overhead memory leak detection using adaptive statistical profiling
Sampling has been successfully used to identify performance optimization opportunities. We would like to apply similar techniques to check program correctness. Unfortunately, samp...
Matthias Hauswirth, Trishul M. Chilimbi
176
Voted
SCN
2011
Springer
292views Communications» more  SCN 2011»
14 years 9 months ago
Synthesis of attack actions using model checking for the verification of security protocols
Model checking cryptographic protocols have evolved to a valuable method for discovering counterintuitive security flaws, which make possible for a hostile agent to subvert the go...
Stylianos Basagiannis, Panagiotis Katsaros, Andrew...
132
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CVPR
2006
IEEE
16 years 4 months ago
Supervised Learning of Edges and Object Boundaries
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
Piotr Dollár, Zhuowen Tu, Serge Belongie