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» A Functional Model for Data Analysis
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CG
2008
Springer
15 years 6 months ago
Masked photo blending: Mapping dense photographic data set on high-resolution sampled 3D models
The technological advance of sensors is producing an exponential size growth of the data coming from 3D scanning and digital photography. The production of digital 3D models consi...
Marco Callieri, Paolo Cignoni, Massimiliano Corsin...
VIS
2008
IEEE
214views Visualization» more  VIS 2008»
16 years 8 months ago
Estimating Crossing Fibers: A Tensor Decomposition Approach
Diffusion weighted magnetic resonance imaging is a unique tool for non-invasive investigation of major nerve fiber tracts. Since the popular diffusion tensor (DT-MRI) model is limi...
Thomas Schultz, Hans-Peter Seidel
CORR
2002
Springer
106views Education» more  CORR 2002»
15 years 6 months ago
On model selection and the disability of neural networks to decompose tasks
A neural network with fixed topology can be regarded as a parametrization of functions, which decides on the correlations between functional variations when parameters are adapted...
Marc Toussaint
SSDBM
2006
IEEE
156views Database» more  SSDBM 2006»
16 years 21 days ago
On Data and Visualization Models for Signaling Pathways
Signaling pathways are chains of interacting proteins, through which the cell converts a (usually) extracellular signal into a biological response. The number of known signaling p...
Nattakarn Ratprasartporn, Ali Cakmak, Gultekin &Ou...
184
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DASFAA
2010
IEEE
179views Database» more  DASFAA 2010»
16 years 1 months ago
Scalable Splitting of Massive Data Streams
Scalable execution of continuous queries over massive data streams often requires splitting input streams into parallel sub-streams over which query operators are executed in paral...
Erik Zeitler, Tore Risch