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ISNN
2005
Springer
16 years 22 days ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
16 years 1 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
ACL
1994
15 years 8 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
3DIM
2005
IEEE
15 years 9 months ago
Bayesian Modelling of Camera Calibration and Reconstruction
Camera calibration methods, whether implicit or explicit, are a critical part of most 3D vision systems. These methods involve estimation of a model for the camera that produced t...
Rashmi Sundareswara, Paul R. Schrater
ATVA
2009
Springer
89views Hardware» more  ATVA 2009»
16 years 1 months ago
A Data Symmetry Reduction Technique for Temporal-epistemic Logic
We present a data symmetry reduction approach for model temporal-epistemic logic. The technique abstracts the epistemic indistinguishably relation for the knowledge operators, and ...
Mika Cohen, Mads Dam, Alessio Lomuscio, Hongyang Q...