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» Outlier-aware robust clustering
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CVPR
2012
IEEE
13 years 11 days ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
TSMC
2010
14 years 4 months ago
Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions
Feature-based image watermarking schemes, which aim to survive various geometric distortions, have attracted great attention in recent years. Existing schemes have shown robustness...
Xinbo Gao, Cheng Deng, Xuelong Li, Dacheng Tao
KES
2005
Springer
15 years 3 months ago
Towards Adaptive Clustering in Self-monitoring Multi-agent Networks
A Decentralised Adaptive Clustering (DAC) algorithm for self-monitoring impact sensing networks is presented within the context of CSIRO-NASA Ageless Aerospace Vehicle project. DAC...
Piraveenan Mahendra rajah, Mikhail Prokopenko, Pet...
ESEM
2007
ACM
15 years 1 months ago
Using Context Distance Measurement to Analyze Results across Studies
Providing robust decision support for software engineering (SE) requires the collection of data across multiple contexts so that one can begin to elicit the context variables that...
Daniela Cruzes, Victor R. Basili, Forrest Shull, M...
DICTA
2008
14 years 11 months ago
Realtime Visual Tracking of Aircrafts
Aircraft tracking has applications in guided landing, automatic scoring in aerobatics and target tracking for military. Radar based tracking is expensive, gives away the position ...
Ajmal S. Mian