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JCNS
2000
165views more  JCNS 2000»
13 years 8 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 6 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
IPMI
2005
Springer
14 years 9 months ago
Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Pa...
VISSYM
2004
13 years 10 months ago
Occlusion Culling for Sub-Surface Models in Geo-Scientific Applications
We present a three pass occlusion culling algorithm, which makes efficient use of hardware support. Our geo-scientific sub-surface data sets consist typically of a set of high res...
John Plate, Anselm Grundhöfer, Benjamin Schmi...
ICSE
2009
IEEE-ACM
14 years 3 months ago
Automated testing of healthcare document transformations in the PICASSO interoperability platform
In every application domain, achieving interoperability among heterogenous information systems is a crucial challenge and alliances are formed to standardize data-exchange formats...
Massimo Pascale, Marcello Roselli, Umberto Rugani,...