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» Evaluation of Interest Point Detectors
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CVPR
2009
IEEE
15 years 6 months ago
Optimal scanning for faster object detection
Recent years have seen the development of fast and accurate algorithms for detecting objects in images. However, as the size of the scene grows, so do the running-times of these a...
Nicholas J. Butko, Javier R. Movellan
ICIP
2006
IEEE
16 years 24 days ago
On the Use of Metrics for Multi-Dimensional Descriptors Clustering
The Visual Thesaurus is a new query approach when no starting image is available. It is a concise representation of all similar regions in a panel of visual patches; the user arra...
Hichem Houissa, Nozha Boujemaa
PERCOM
2011
ACM
14 years 6 months ago
AnonySense: A system for anonymous opportunistic sensing
We describe AnonySense, a privacy-aware system for realizing pervasive applications based on collaborative, opportunistic sensing by personal mobile devices. AnonySense allows app...
Minho Shin, Cory Cornelius, Daniel Peebles, Apu Ka...
ICCV
2011
IEEE
13 years 11 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter
DIMVA
2007
15 years 18 days ago
On the Adaptive Real-Time Detection of Fast-Propagating Network Worms
Abstract. We present two light-weight worm detection algorithms that offer significant advantages over fixed-threshold methods. The first algorithm, RBS (ratebased sequential hy...
Jaeyeon Jung, Rodolfo A. Milito, Vern Paxson