596 search results - page 17 / 120 » Detecting worm variants using machine learning |
NDSS
2005
IEEE
15 years 5 months ago
2005
IEEE
Current intrusion detection systems point out suspicious states or events but do not show how the suspicious state or events relate to other states or events in the system. We sho...
ECCV
2004
Springer
16 years 1 months ago
2004
Springer
Reliable detection of fiducial targets in real-world images is addressed in this paper. We show that even the best existing schemes are fragile when exposed to other than laborator...
131
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JAIR
2010
14 years 6 months ago
2010
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
MICCAI
2008
Springer
16 years 26 days ago
2008
Springer
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...
105
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SIGIR
2004
ACM
15 years 5 months ago
2004
ACM
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...