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» Neural methods for non-standard data
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MICCAI
2003
Springer
16 years 4 months ago
Visualization of Neural DTI Vector Fields Using Line Integral Convolution
Abstract. Diffusion Tensor Imaging (DTI) provides voxel-wise information related to the local diffusion anisotropy. Recent research efforts have centered around the use of this inf...
Sean C. L. Deoni, B. K. Rutt, Terry M. Peters
ISBI
2008
IEEE
15 years 10 months ago
An optimal-path approach for neural circuit reconstruction
Neurobiologists are collecting large amounts of electron microscopy image data to gain a better understanding of neuron organization in the central nervous system. Image analysis ...
Elizabeth Jurrus, Ross T. Whitaker, Bryan W. Jones...
ICAD
2004
15 years 5 months ago
Aural Maps, Neural Futures
If the mental objects of philosophy, art, and science ... have a place it will be in the deepest synaptic fissures, in the hiatuses, intervals, and mean-times of the non-objectifi...
Meredith Walsh
NN
2006
Springer
104views Neural Networks» more  NN 2006»
15 years 4 months ago
Local multidimensional scaling
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
Jarkko Venna, Samuel Kaski
146
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KES
2007
Springer
15 years 3 months ago
An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
Giovanni Raimondo, Alfonso Montuori, Walter Moniac...