9886 search results - page 1437 / 1978 » Learning Compressible Models |
172
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IJCNN
2006
IEEE
16 years 1 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
215
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IJCNN
2006
IEEE
16 years 1 months ago
2006
IEEE
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
168
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ICCV
2005
IEEE
16 years 19 days ago
2005
IEEE
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
173
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ITCC
2005
IEEE
16 years 19 days ago
2005
IEEE
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
188
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DIGRA
2005
Springer
16 years 17 days ago
2005
Springer
In this contribution, “Interactive Digital Storytelling” is viewed as a hybrid form of game design and cinematic storytelling for the understanding and creation of future lear...