369 search results - page 54 / 74 » Layered Learning |
102
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IDEAL
2010
Springer
14 years 10 months ago
2010
Springer
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
120
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with c...
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
105
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TNN
2010
14 years 6 months ago
2010
Abstract--An Elman network (EN) can be viewed as a feedforward (FF) neural network with an additional set of inputs from the context layer (feedback from the hidden layer). Therefo...
113
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ICCV
2005
IEEE
16 years 1 months ago
2005
IEEE
We present a two-layer hierarchical formulation to exploit different levels of contextual information in images for robust classification. Each layer is modeled as a conditional f...