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IMC
2006
ACM
15 years 12 months ago
Approximate fingerprinting to accelerate pattern matching
Pattern matching and analysis over network data streams is increasingly becoming an essential primitive of network monitoring systems. It is a fundamental part of most intrusion d...
Ramaswamy Ramaswamy, Lukas Kencl, Gianluca Iannacc...
CEC
2007
IEEE
16 years 8 days ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli
IMC
2009
ACM
16 years 14 days ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
ECCV
2010
Springer
15 years 11 months ago
ClassCut for Unsupervised Class Segmentation
Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method...
INFOCOM
2006
IEEE
15 years 12 months ago
A Quasi-Species Approach for Modeling the Dynamics of Polymorphic Worms
— Polymorphic worms can change their byte sequence as they replicate and propagate, thwarting the traditional signature analysis techniques used by many intrusion detection syste...
Bradley Stephenson, Biplab Sikdar