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JMIV
2002
152views more  JMIV 2002»
15 years 6 months ago
Shape Connectivity: Multiscale Analysis and Application to Generalized Granulometries
This paper develops a multiscale connectivity theory for shapes based on the axiomatic definition of new generalized connectivity measures, which are obtained using morphology-base...
Costas S. Tzafestas, Petros Maragos
NN
1998
Springer
112views Neural Networks» more  NN 1998»
15 years 6 months ago
Continuous attractors and oculomotor control
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
H. Sebastian Seung
FSS
2010
111views more  FSS 2010»
15 years 5 months ago
The geometry of consonant belief functions: Simplicial complexes of necessity measures
In this paper we extend the geometric approach to the theory of evidence in order to include the class of necessity measures, represented on a finite domain of “frame” by con...
Fabio Cuzzolin
IANDC
2010
105views more  IANDC 2010»
15 years 5 months ago
Symmetries, local names and dynamic (de)-allocation of names
The semantics of name-passing calculi is often defined employing coalgebraic models over presheaf categories. This elegant theory lacks finiteness properties, hence it is not ap...
Vincenzo Ciancia, Ugo Montanari
TIT
2008
118views more  TIT 2008»
15 years 5 months ago
Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statisti
Abstract--Discrete-input two-dimensional (2-D) Gaussian channels with memory represent an important class of systems, which appears extensively in communications and storage. In sp...
Ori Shental, Noam Shental, Shlomo Shamai, Ido Kant...