43 search results - page 6 / 9 » Expectation Maximization for Weakly Labeled Data |
MICCAI
2009
Springer
15 years 11 months ago
2009
Springer
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
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DASFAA
2004
IEEE
15 years 1 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
CIVR
2005
Springer
15 years 3 months ago
2005
Springer
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
ISNN
2005
Springer
15 years 3 months ago
2005
Springer
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
ICTAI
2007
IEEE
15 years 4 months ago
2007
IEEE
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...