1298 search results - page 111 / 260 » Categorizing Vulnerabilities Using Data Clustering Technique... |
125
Voted
NIPS
2004
15 years 4 months ago
2004
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
232
Voted
ICDM
2006
IEEE
15 years 9 months ago
2006
IEEE
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
115
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ICIP
2000
IEEE
16 years 5 months ago
2000
IEEE
This paper outlines a technique for the automated alignment of digital images of the retina under the assumption that they differ spatially by a geometric global transform. This a...
122
Voted
FUZZIEEE
2007
IEEE
15 years 9 months ago
2007
IEEE
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...
150
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...