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» Collusion set detection using graph clustering
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CVPR
2009
IEEE
15 years 3 months ago
Appearance-based Keypoint Clustering
We present an algorithm for clustering sets of detected interest points into groups that correspond to visually dis- tinct structure. Through the use of a suitable colour and tex...
Francisco J. Estrada, Pascal Fua, Sabine Süss...
DMIN
2006
111views Data Mining» more  DMIN 2006»
13 years 10 months ago
Profiling and Clustering Internet Hosts
Identifying groups of Internet hosts with a similar behavior is very useful for many applications of Internet security control, such as DDoS defense, worm and virus detection, dete...
Songjie Wei, Jelena Mirkovic, Ezra Kissel
PAMI
2010
164views more  PAMI 2010»
13 years 7 months ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas
COR
2010
146views more  COR 2010»
13 years 8 months ago
A search space "cartography" for guiding graph coloring heuristics
We present a search space analysis and its application in improving local search algorithms for the graph coloring problem. Using a classical distance measure between colorings, w...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
SAMT
2007
Springer
117views Multimedia» more  SAMT 2007»
14 years 2 months ago
A Region Thesaurus Approach for High-Level Concept Detection in the Natural Disaster Domain
Abstract. This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set...
Evaggelos Spyrou, Yannis S. Avrithis