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IJCNN
2008
IEEE
15 years 11 months ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
CODES
2007
IEEE
15 years 11 months ago
Combined approach to system level performance analysis of embedded systems
Compositional approaches to system-level performance analysis have shown great flexibility and scalability in the design of heterogeneous systems. These approaches often assume c...
Simon Künzli, Arne Hamann, Rolf Ernst, Lothar...
ECAI
2000
Springer
15 years 9 months ago
Naive Bayes and Exemplar-based Approaches to Word Sense Disambiguation Revisited
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
Gerard Escudero, Lluís Màrquez, Germ...
CVPR
1996
IEEE
15 years 9 months ago
Global Minimum for Active Contour Models: A Minimal Path Approach
A new boundary detection approach for shape modeling is presented. It detects the global minimum of an active contour model's energy between two end points. Initialization is ...
Laurent D. Cohen, Ron Kimmel
CVRMED
1997
Springer
15 years 9 months ago
An approach to 2D/3D registration of a vertebra in 2D X-ray fluoroscopies with 3D CT images
In order to use pre-operative images during an operation for navigation, they must be registered to the patient's coordinate system in the operating theater or to an intra-ope...
Jürgen Weese, Thorsten M. Buzug, Cristian Lor...