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CVPR
2001
IEEE
14 years 7 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
BMCBI
2005
137views more  BMCBI 2005»
13 years 5 months ago
A standard curve based method for relative real time PCR data processing
Background: Currently real time PCR is the most precise method by which to measure gene expression. The method generates a large amount of raw numerical data and processing may no...
Alexey Larionov, Andreas Krause, William Miller
DAS
2008
Springer
13 years 7 months ago
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation
A robust segmentation is the most important part of an automatic character recognition system (e.g. document processing, license plate recognition etc.). In our contribution we pr...
Erik Rodner, Herbert Süße, Wolfgang Ort...

Publication
352views
12 years 11 months ago
A Contourlet Transform Feature Extraction Scheme for Ultrasound Thyroid Texture Classification
Ultrasonography is an invaluable and widely used medical imaging tool. Nevertheless, automatic texture analysis on ultrasound images remains a challenging issue. This work presen...
Stamos Katsigiannis, Eystratios G. Keramidas, Dimi...
DAC
2008
ACM
13 years 7 months ago
Leakage power-aware clock skew scheduling: converting stolen time into leakage power reduction
Clock skew scheduling has been traditionally considered as a tool for improving the clock period in a sequential circuit. Timing slack is "stolen" from fast combinationa...
Min Ni, Seda Ogrenci Memik