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IDEAL
2010
Springer
11 years 6 months ago
Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection
Intrusion detection in computer networks faces the problem of a large number of both false alarms and unrecognized attacks. To improve the precision of detection, various machine l...
Carsten Elfers, Mirko Horstmann, Karsten Sohr, Ott...
ECCV
2008
Springer
12 years 10 months ago
A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes
Object detection and pixel-wise scene labeling have both been active research areas in recent years and impressive results have been reported for both tasks separately. The integra...
Christian Wojek, Bernt Schiele
AI
2011
Springer
10 years 11 months ago
Exploiting Conversational Features to Detect High-Quality Blog Comments
Abstract. In this work, we present a method for classifying the quality of blog comments using Linear-Chain Conditional Random Fields (CRFs). This approach is found to yield high a...
Nicholas FitzGerald, Giuseppe Carenini, Gabriel Mu...
IPSN
2004
Springer
12 years 1 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
IPPS
2009
IEEE
12 years 2 months ago
Input-independent, scalable and fast string matching on the Cray XMT
String searching is at the core of many security and network applications like search engines, intrusion detection systems, virus scanners and spam ļ¬lters. The growing size of o...
Oreste Villa, Daniel G. Chavarría-Miranda, ...
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