662 search results - page 78 / 133 » Method of Motion Data Processing Based on Manifold Learning |
126
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
119
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AAAI
2012
13 years 5 months ago
2012
In this paper, we propose a semi-supervised kernel matching method to address domain adaptation problems where the source distribution substantially differs from the target distri...
166
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CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
218
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ISNN
2011
Springer
14 years 5 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
156
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MICCAI
2010
Springer
15 years 1 months ago
2010
Springer
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...