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MM
2010
ACM
146views Multimedia» more  MM 2010»
14 years 11 months ago
Understanding the security and robustness of SIFT
Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because of their very robust recognition capabilities. While SIFT features proved to cop...
Thanh-Toan Do, Ewa Kijak, Teddy Furon, Laurent Ams...
JAIR
2006
74views more  JAIR 2006»
14 years 11 months ago
Understanding Algorithm Performance on an Oversubscribed Scheduling Application
The best performing algorithms for a particular oversubscribed scheduling application, Air Force Satellite Control Network (AFSCN) scheduling, appear to have little in common. Yet...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
PE
2007
Springer
87views Optimization» more  PE 2007»
14 years 10 months ago
Understanding the simulation of mobility models with Palm calculus
The simulation of mobility models such as the random waypoint often cause subtle problems, for example the decay of average speed as the simulation progresses, a difference betwee...
Jean-Yves Le Boudec
MICCAI
2010
Springer
14 years 9 months ago
Understanding the Optics to Aid Microscopy Image Segmentation
Abstract. Image segmentation is essential for many automated microscopy image analysis systems. Rather than treating microscopy images as general natural images and rushing into th...
Zhaozheng Yin, Kang Li, Takeo Kanade, Mei Chen
DMIN
2009
132views Data Mining» more  DMIN 2009»
14 years 9 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...