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» Using Active Learning in Intrusion Detection
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PERCOM
2004
ACM
15 years 10 months ago
Learning to Detect User Activity and Availability from a Variety of Sensor Data
Using a networked infrastructure of easily available sensors and context-processing components, we are developing applications for the support of workplace interactions. Notions o...
Dave Snowdon, Jean-Luc Meunier, Martin Mühlen...
NIPS
2007
15 years 7 days ago
Nearest-Neighbor-Based Active Learning for Rare Category Detection
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
Jingrui He, Jaime G. Carbonell
ACCV
2010
Springer
14 years 7 months ago
Stream-based Active Unusual Event Detection
We present a new active learning approach to incorporate human feedback for on-line unusual event detection. In contrast to most existing unsupervised methods that perform passiv...
Chen Change Loy, Tao Xiang, Shaogang Gong
85
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IBPRIA
2009
Springer
15 years 3 months ago
Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device
In this work the feasibility of building a socially aware badge that learns from user activities is explored. A wearable multisensor device has been prototyped for collecting data ...
Pierluigi Casale, Oriol Pujol, Petia Radeva
CN
2007
90views more  CN 2007»
14 years 10 months ago
SweetBait: Zero-hour worm detection and containment using low- and high-interaction honeypots
As next-generation computer worms may spread within minutes to millions of hosts, protection via human intervention is no longer an option. We discuss the implementation of SweetB...
Georgios Portokalidis, Herbert Bos