1956 search results - page 67 / 392 » Learning the Relative Importance of Features in Image Data |
107
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NIPS
2007
15 years 1 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
ICPR
2006
IEEE
16 years 28 days ago
2006
IEEE
In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are ...
ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Scene text images feature an abundance of font style variety but a dearth of data in any given query. Recognition methods must be robust to this variety or adapt to the query data...
109
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ISBI
2011
IEEE
14 years 3 months ago
2011
IEEE
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
ICIP
2000
IEEE
16 years 1 months ago
2000
IEEE
When working in image and video segmentation, the major objective is to design an algorithm producing the appropriate segmentation results for the particular goals of the applicat...