1276 search results - page 111 / 256 » Modeling of Process-Oriented Learning Designs |
ACII
2007
Springer
14 years 1 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...
ICML
2008
IEEE
14 years 10 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 ...
ICCV
2007
IEEE
14 years 3 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...
NN
1998
Springer
13 years 9 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...
ECCV
2006
Springer
14 years 11 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...