1276 search results - page 111 / 256 » Modeling of Process-Oriented Learning Designs |
121
Voted
ACII
2007
Springer
15 years 6 months ago
2007
Springer
To build autonomous robots able to live and interact with humans in a real-world dynamic and uncertain environment, the design of architectures permitting robots to develop attachm...
110
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
134
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ICCV
2007
IEEE
15 years 8 months ago
2007
IEEE
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
105
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NN
1998
Springer
15 years 2 months ago
1998
Springer
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
127
Voted
ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...