363 search results - page 23 / 73 » Domain Adaptation for Object Recognition: An Unsupervised Ap... |
104
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SUTC
2010
IEEE
15 years 5 months ago
2010
IEEE
—To date many activity spotting approaches are static: once the system is trained and deployed it does not change anymore. There are substantial shortcomings of this approach, sp...
127
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CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
Object localization and classification are important problems in computer vision.
However, in many applications, exhaustive search over all class labels and image
locations is co...
HAIS
2009
Springer
15 years 6 months ago
2009
Springer
Network vulnerability assessments collect large amounts of data to be further analyzed by security experts. Data mining and, particularly, unsupervised learning can help experts an...
121
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RSCTC
2000
Springer
15 years 5 months ago
2000
Springer
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...
188
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BCS
2008
15 years 2 months ago
2008
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...