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» On the design of robust classifiers for computer vision
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ICPR
2010
IEEE
13 years 6 months ago
Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images
Abstract—In this paper a novel system for automatic detection and segmentation of focal liver lesions in CT images is presented. It utilizes a probabilistic boosting tree to clas...
Arne Militzer, Tobias Hager, Florian Jäger, Chris...
ICPR
2010
IEEE
13 years 5 months ago
Automatically Detecting Peaks in Terahertz Time-Domain Spectroscopy
To classify spectroscopic measurements it is necessary to have comparable methods of evaluation. In Terahertz (THz) time-domain spectroscopy, as a new technology, neither the pres...
Henrike Stephani, Joachim Jonuscheit, Christoph Ro...
ICPR
2010
IEEE
13 years 5 months ago
Local Binary Pattern-Based Features for Text Identification of Web Images
We present a method of robustly identifying a text block in complex web images. The method is a MLP (Multilayer perceptron) classifier trained on LBP (Local binary patterns), wavel...
Insook Jung, Il-Seok Oh
ICPR
2010
IEEE
13 years 5 months ago
Learning the Kernel Combination for Object Categorization
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
Deyuan Zhang, Xiaolong Wang, Bingquan Liu
ICPR
2008
IEEE
14 years 8 months ago
Free-hand sketch grouping for video retrieval
We present an algorithm for extracting object descriptions from free-hand sketches of remembered scenes, drawn as video retrieval queries. Our sketches depict scene content, as we...
Graham McNeill, John P. Collomosse, Leon Adam Watt...