1351 search results - page 157 / 271 » Learning from compressed observations |
139
Voted
ICMLA
2008
15 years 6 months ago
2008
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
143
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NIPS
1998
15 years 5 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
150
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MCS
2009
Springer
15 years 11 months ago
2009
Springer
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
139
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ACSW
2004
15 years 5 months ago
2004
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...
130
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ICPR
2000
IEEE
15 years 9 months ago
2000
IEEE
We discuss the issues and challenges of generic object recognition. We argue that high-level, volumetric part-based descriptions are essential in the process of recognizing object...