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» Object Recognition Using Segmentation for Feature Detection
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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 2 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
ICPR
2008
IEEE
15 years 8 months ago
Improved percolation-based method for crack detection in concrete surface images
This paper presents a highly accurate and efficient method for crack detection using percolation-based image processing. The detection of cracks in concrete surfaces during the ma...
Tomoyuki Yamaguchi, Shuji Hashimoto
147
Voted
CIDM
2007
IEEE
15 years 8 months ago
Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems
–The OBSERVER is a video surveillance system that detects and predicts abnormal behaviors aiming at the intelligent surveillance concept. The system acquires color images from a ...
Duarte Duque, Henrique Santos, Paulo Cortez
IBPRIA
2007
Springer
15 years 8 months ago
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images
Detection of speckle in ultrasound (US) images has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to no...
Robert Marti, Joan Martí, Jordi Freixenet, ...
IMAGING
2003
15 years 3 months ago
Using Colour to Model Outliers
Computer vision applications are able to model and reconstruct three dimensional scenes from several pictures. In this work, we are interested in the group of algorithm that regis...
David Hasler, Sabine Süsstrunk