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» Using Active Learning in Intrusion Detection
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AAAI
2010
15 years 2 days ago
Recognizing Multi-Agent Activities from GPS Data
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
Adam Sadilek, Henry A. Kautz
WWW
2004
ACM
15 years 11 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
ICIP
2010
IEEE
14 years 8 months ago
Saliency detection based on short-term sparse representation
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei X...
ACSAC
2006
IEEE
15 years 4 months ago
NetSpy: Automatic Generation of Spyware Signatures for NIDS
We present NetSpy, a tool to automatically generate network-level signatures for spyware. NetSpy determines whether an untrusted program is spyware by correlating user input with ...
Hao Wang, Somesh Jha, Vinod Ganapathy
COMAD
2009
14 years 11 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...