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» A Scalable Segmented Decision Tree Abstract Domain
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ICPR
2010
IEEE
13 years 4 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...
FORTE
2010
13 years 7 months ago
Exploiting the Hierarchical Structure of Rule-Based Specifications for Decision Planning
Abstract. Rule-based specifications have been very successful as a declarative approach in many domains, due to the handy yet solid foundations offered by rule-based machineries li...
Artur Boronat, Roberto Bruni, Alberto Lluch-Lafuen...
IUI
1999
ACM
13 years 10 months ago
Multi-Agent Learning Approach to WWW Information Retrieval Using Neural Network
er has outlined the potential of multiagent framework for decision support. From an abstract point of view, the concept of an agent has been used as modularization principle for th...
Yong S. Choi, Suk I. Yoo
CISIM
2007
IEEE
13 years 9 months ago
Semi-Automatic Segmentation of Fibrous Liver Tissue
This article presents a semi-automatic segmentation of the fibrous liver tissue in the in-vivo liver biopsy color images. The segmentation is performed using a tree-based classifi...
P. Andruszkiewicz, C. Boldak, J. Jaroszewicz
JIIS
2000
120views more  JIIS 2000»
13 years 5 months ago
Machine Learning for Intelligent Processing of Printed Documents
Abstract. A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In ...
Floriana Esposito, Donato Malerba, Francesca A. Li...