922 search results - page 139 / 185 » Learning Gaussian Process Models from Uncertain Data |
174
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
In this paper, we present a multi-label sparse coding
framework for feature extraction and classification within
the context of automatic image annotation. First, each image
is ...
115
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IJCAI
1989
15 years 3 months ago
1989
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
135
Voted
EDBT
2008
ACM
16 years 2 months ago
2008
ACM
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
134
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
119
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JAIR
2006
15 years 2 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...