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» Intrusion Detection: Systems and Models
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MICCAI
2006
Springer
16 years 7 months ago
An Approach for the Automatic Cephalometric Landmark Detection Using Mathematical Morphology and Active Appearance Models
Cephalometric analysis of lateral radiographs of the head is an important diagnosis tool in orthodontics. Based on manually locating specific landmarks, it is a tedious, time-consu...
Mariano Alcañiz Raya, Sylvia Rueda
168
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WCE
2007
15 years 8 months ago
Adaptive Automata Community Detection and Clustering: A generic methodology
— We present in this paper a generic methodology based on genetic automata for modelling community detection. With Communities, we deal with dynamic organizations which are self-...
Rawan Ghnemat, Cyrille Bertelle, Gérard Hen...
ICMLA
2007
15 years 8 months ago
Soft Failure Detection Using Factorial Hidden Markov Models
In modern business, educational, and other settings, it is common to provide a digital network that interconnects hardware devices for shared access by the users (e.g., in an ofļ¬...
Guillaume Bouchard, Jean-Marc Andreoli
CORR
2010
Springer
206views Education» more  CORR 2010»
15 years 7 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook
AAAI
2012
13 years 9 months ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...