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» State Estimation With Initial State Uncertainty
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IJON
2007
132views more  IJON 2007»
13 years 7 months ago
Emergence of population synchrony in a layered network of the cat visual cortex
Recently, a quantitative wiring diagram for the local neuronal network of cat visual cortex was described [T. Binzegger, R.J. Douglas, K.A.C. Martin, A quantitative map of the cir...
Jens Kremkow, Arvind Kumar, Stefan Rotter, Ad Aert...
TROB
2008
159views more  TROB 2008»
13 years 7 months ago
Distributed Connectivity Control of Mobile Networks
Control of mobile networks raises fundamental and novel problems in controlling the structure of the resulting dynamic graphs. In particular, in applications involving mobile senso...
Michael M. Zavlanos, George J. Pappas
MICCAI
2010
Springer
13 years 6 months ago
Manifold Learning for Biomarker Discovery in MR Imaging
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel...
MVA
2010
229views Computer Vision» more  MVA 2010»
13 years 2 months ago
Robust 3D object registration without explicit correspondence using geometric integration
3D vision guided manipulation of components is a key problem of industrial machine vision. In this paper, we focus on the localization and pose estimation of known industrial objec...
Dirk Breitenreicher, Christoph Schnörr
ANSS
1996
IEEE
13 years 11 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...