641 search results - page 89 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
NN
2000
Springer
14 years 9 months ago
2000
Springer
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
DIS
2009
Springer
15 years 4 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
176
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
104
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CBMS
1997
IEEE
15 years 1 months ago
1997
IEEE
This paper presents a novel method for CT head image automatic segmentation. The images are obtained from patients having the spontaneous intra cerebral brain hemorrhage ICH . Th...
72
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IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— A method is presented for extending the Evolving Connectionist System (ECoS) algorithm that allows it to explicitly represent and learn nominal-scale data without the need for ...