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» Minimization of an M-convex Function
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ICANN
2009
Springer
15 years 10 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
ISVC
2009
Springer
15 years 10 months ago
A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we present a novel and fast 3D segment...
Melih S. Aslan, Asem M. Ali, Ham M. Rara, Ben Arno...
ECOOP
2001
Springer
15 years 10 months ago
Distinctness and Sharing Domains for Static Analysis of Java Programs
Abstract. The application field of static analysis techniques for objectoriented programming is getting broader, ranging from compiler optimizations to security issues. This leads...
Isabelle Pollet, Baudouin Le Charlier, Agostino Co...
EMMCVPR
2001
Springer
15 years 10 months ago
3D Flux Maximizing Flows
A number of geometric active contour and surface models have been proposed for shape segmentation in the literature. The essential idea is to evolve a curve (in 2D) or a surface (i...
Kaleem Siddiqi, Alexander Vasilevskiy
ICN
2001
Springer
15 years 10 months ago
Backbone Network Design with QoS Requirements
In this paper, we consider the backbone network design problem with a full set of QoS requirements. Unlike previous researches, we consider both the transmission line cost and the ...
Hong-Hsu Yen, Frank Yeong-Sung Lin