1956 search results - page 188 / 392 » Learning the Relative Importance of Features in Image Data |
186
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CVPR
2009
IEEE
16 years 11 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 ...
132
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ECCV
2006
Springer
15 years 7 months ago
2006
Springer
While learning ensembles have been widely used for various pattern recognition tasks, surprisingly, they have found limited application in problems related to medical image analysi...
164
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PCM
2009
Springer
15 years 10 months ago
2009
Springer
Recently, the bag-of-words (BOW) based image representation is getting popular in object categorization. However, there is no available visual vocabulary and it has to be learned. ...
145
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JMLR
2012
13 years 6 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
131
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SAINT
2005
IEEE
15 years 9 months ago
2005
IEEE
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...