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ECCV
2006
Springer
16 years 8 months ago
Learning to Detect Objects of Many Classes Using Binary Classifiers
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
IBPRIA
2007
Springer
16 years 15 days 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, ...
ICPR
2008
IEEE
16 years 23 days ago
Human detection by searching in 3d space using camera and scene knowledge
Many existing human detection systems are based on sub-window classification, namely detection is done by enumerating rectangular sub-images in the 2D image space. Detection rate...
Yuan Li, Bo Wu, Ram Nevatia
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 12 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
AVSS
2009
IEEE
15 years 4 months ago
A Classification Architecture Based on Connected Components for Text Detection in Unconstrained Environments
The paper presents a method for efficient text detection in unconstrained environments, based on image features derived from connected components and on a classification architect...
Luca Zini, Augusto Destrero, Francesca Odone