2512 search results - page 113 / 503 » Learning from Highly Structured Data by Decomposition |
AAAI
2012
13 years 11 days ago
2012
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
112
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ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
PAMI
2010
14 years 8 months ago
2010
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
102
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BMCBI
2006
14 years 10 months ago
2006
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
GRC
2010
IEEE
14 years 11 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...