801 search results - page 22 / 161 » The Inefficiency of Batch Training for Large Training Sets |
129
Voted
ICANN
2010
Springer
15 years 2 months ago
2010
Springer
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
109
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COLING
2000
15 years 3 months ago
2000
We argue that some of the computational complexity associated with estimation of stochastic attributevalue grammars can be reduced by training upon an informative subset of the fu...
121
Voted
ICCV
2011
IEEE
14 years 1 months ago
2011
IEEE
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
105
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KDD
2008
ACM
16 years 2 months ago
2008
ACM
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
117
Voted
DRR
2009
14 years 11 months ago
2009
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...