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» Robust dynamical network reconstruction
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ICCV
2009
IEEE
13 years 6 months ago
High-resolution shape reconstruction from multiple range images based on simultaneous estimation of surface and motion
Recognition of dynamic scenes based on shape information could be useful for various applications. In this study, we aimed at improving the resolution of three-dimensional (3D) da...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...
BMCBI
2007
129views more  BMCBI 2007»
13 years 8 months ago
Integrated network reconstruction, visualization and analysis using YANAsquare
Background: Modeling of metabolic networks includes tasks such as network assembly, network overview, calculation of metabolic fluxes and testing the robustness of the network. Re...
Roland Schwarz, Chunguang Liang, Christoph Kaleta,...
IJCNN
2006
IEEE
14 years 2 months ago
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
Igor Beliaev, Robert Kozma
GLOBECOM
2009
IEEE
14 years 3 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
ICIP
2003
IEEE
14 years 10 months ago
Implementation of a robust coded structured light technique for dynamic 3D measurements
This paper presents the implementation details of a coded structured light system for rapid shape acquisition of unknown surfaces. Such techniques are based on the projection of p...
Carles Matabosch, Joaquim Salvi, Jordi Pagè...