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» Direct Nonlinear Order Reduction with Variational Analysis
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MICCAI
2007
Springer
14 years 8 months ago
Sources of Variability in MEG
Abstract. This paper investigates and characterizes sources of variability in MEG signals in multi-site, multi-subject studies. Understanding these sources will help to develop eff...
Matti Hämäläinen, Polina Golland, W...
IJCAI
2003
13 years 8 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
VLSID
2002
IEEE
124views VLSI» more  VLSID 2002»
14 years 7 months ago
Efficient Approximate Balanced Truncation of General Large-Scale RLC Systems via Krylov Methods
We present an efficient implementation of an approximate balanced truncation model reduction technique for general large-scale RLC systems, described by a statespace model where t...
Q. Su, Venkataramanan Balakrishnan, Cheng-Kok Koh
MICCAI
2009
Springer
14 years 8 months ago
Topological Characterization of Signal in Brain Images Using Min-Max Diagrams
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....
MICCAI
2009
Springer
14 years 8 months ago
Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma
We introduce an efficient search strategy to substantially accelerate feature based registration. Previous feature based registration algorithms often use truncated search strategi...
Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid,...