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» Markov Processes on Curves
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107
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NECO
2007
108views more  NECO 2007»
15 years 6 days ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
ICIP
1998
IEEE
16 years 2 months ago
Complex Representations of Algebraic Curves
In this work, we employ a complex representation for an algebraic curve, and illustrate how the algebraic transformation which relates two Euclidean equivalent curves can be deter...
Mustafa Unel, William A. Wolovich
87
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Nonparametric curve alignment
Congealing is a flexible nonparametric data-driven framework for the joint alignment of data. It has been successfully applied to the joint alignment of binary images of digits, ...
Marwan A. Mattar, Michael G. Ross, Erik G. Learned...
112
Voted
ICIP
2004
IEEE
16 years 2 months ago
Interactive segmentation using curve evolution and relevance feedback
We propose in this paper an interactive segmentation algorithm based on curve evolution techniques. The task of automated segmentation has proven to be highly complex and applicat...
Motaz A. El Saban, B. S. Manjunath
ICIAP
2001
Springer
16 years 25 days ago
Representing Volumetric Vascular Structures Using Curve Skeletons
This paper describes a technique to represent relevant information of tree-like structures in a compact way. The technique is general. In the application described here, the image...
Gabriella Sanniti di Baja, Ingela Nyström, St...