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» A new approach to edge detection
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122
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KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 2 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
CVPR
2005
IEEE
15 years 7 months ago
Robust Face Detection with Multi-Class Boosting
With the aim to design a general learning framework for detecting faces of various poses or under different lighting conditions, we are motivated to formulate the task as a classi...
Yen-Yu Lin, Tyng-Luh Liu
ICIP
2004
IEEE
16 years 3 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
116
Voted
ICIP
2006
IEEE
16 years 3 months ago
Multiscale Keypoint Detection using the Dual-Tree Complex Wavelet Transform
We present a novel approach to detect multiscale keypoints using the Dual Tree Complex Wavelet Transform (DTCWT). We show that it is a well-suited basis for this problem as it is ...
Julien Fauqueur, Nick G. Kingsbury, Ryan Anderson
ICSM
2009
IEEE
15 years 8 months ago
Detecting virus mutations via dynamic matching
To defeat current commercial antivirus software, the virus developers are employing obfuscation techniques to create mutating viruses. The current antivirus software cannot handle...
Min Feng, Rajiv Gupta