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» Comparing image-based localization methods
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ICPR
2004
IEEE
14 years 8 months ago
On Performance Evaluation of Face Detection and Localization Algorithms
When comparing different methods for face detection or localization, one realizes that just simply comparing the reported results is misleading as, even if the results are reporte...
Jean-Philippe Thiran, Sébastien Marcel, Vla...
BMCBI
2010
143views more  BMCBI 2010»
13 years 7 months ago
Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images
Background: Several algorithms have been proposed for detecting fluorescently labeled subcellular objects in microscope images. Many of these algorithms have been designed for spe...
Pekka Ruusuvuori, Tarmo Äijö, Sharif Cho...
ECCV
2008
Springer
14 years 9 months ago
Image Feature Extraction Using Gradient Local Auto-Correlations
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
Takumi Kobayashi, Nobuyuki Otsu
ICASSP
2009
IEEE
14 years 2 months ago
Color image feature extraction using color index local auto-correlations
In this paper, we propose a method for extracting color image features, called color index local auto-correlations. Pixel color is quantized and described sparsely in a manner sim...
Takumi Kobayashi, Nobuyuki Otsu
AADEBUG
2005
Springer
14 years 1 months ago
Lightweight bug localization with AMPLE
AMPLE locates likely failure-causing classes by comparing method call sequences of passing and failing runs. A difference in method call sequences, such as multiple deallocation ...
Valentin Dallmeier, Christian Lindig, Andreas Zell...