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» Extracting Propositions from Trained Neural Networks
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CN
2004
129views more  CN 2004»
14 years 11 months ago
Measuring normality in HTTP traffic for anomaly-based intrusion detection
In this paper, the problem of measuring normality in HTTP traffic for the purpose of anomaly-based network intrusion detection is addressed. The work carried out is expressed in t...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
JEI
2008
109views more  JEI 2008»
14 years 10 months ago
New approach for liveness detection in fingerprint scanners based on valley noise analysis
Recent research has shown that it is possible to spoof a variety of fingerprint scanners using some simple techniques with molds made from plastic, clay, Play-Doh, silicon, or gela...
Bozhao Tan, Stephanie A. C. Schuckers
IJCNN
2007
IEEE
15 years 6 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
COLING
2002
14 years 11 months ago
Data-driven Classification of Linguistic Styles in Spoken Dialogues
Language users have individual linguistic styles. A spoken dialogue system may benefit from adapting to the linguistic style of a user in input analysis and output generation. To ...
Thomas Portele
NECO
2007
127views more  NECO 2007»
14 years 11 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado