Elements of information theory
Elements of information theory
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
A neural net for blind separation of nonstationary signals
Neural Networks
Adaptive blind separation of independent sources: a deflation approach
Signal Processing
A fast fixed-point algorithm for independent component analysis
Neural Computation
Independent component analysis by general nonlinear Hebbian-like learning rules
Signal Processing - Special issue on neural networks
New approximations of differential entropy for independent component analysis and projection pursuit
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Feature extraction through LOCOCODE
Neural Computation
A blind source separation technique using second-order statistics
IEEE Transactions on Signal Processing
Equivariant adaptive source separation
IEEE Transactions on Signal Processing
A class of neural networks for independent component analysis
IEEE Transactions on Neural Networks
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams
Journal of Intelligent Information Systems
Topic Identification in Dynamical Text by Complexity Pursuit
Neural Processing Letters
Complexity Pursuit for Financial Prediction
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
A New Neural Implementation of Exploratory Projection Pursuit
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Overlearning in marginal distribution-based ICA: analysis and solutions
The Journal of Machine Learning Research
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
Data Mining and Knowledge Discovery
Weather Data Mining Using Independent Component Analysis
The Journal of Machine Learning Research
Overlearning in marginal distribution-based ICA: analysis and solutions
The Journal of Machine Learning Research
A unifying model for blind separation of independent sources
Signal Processing
Evaluating the air-sea interactions and fluxes using an instance-based reasoning system
AI Communications - Binding Environmental Sciences and AI
Letters: Nonlinear innovation to blind source separation
Neurocomputing
Independent Component Analysis for Time-dependent Processes Using AR Source Model
Neural Processing Letters
Letters: Gaussian moments for noisy unifying model
Neurocomputing
Nonlinear Innovation to Noisy Blind Source Separation Based on Gaussian Moments
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
A fixed-point algorithm for blind source separation with nonlinear autocorrelation
Journal of Computational and Applied Mathematics
Blind source separation with nonlinear autocorrelation and non-Gaussianity
Journal of Computational and Applied Mathematics
Fast nonlinear autocorrelation algorithm for source separation
Pattern Recognition
Multi-agent neural business control system
Information Sciences: an International Journal
Complexity Pursuit for Unifying Model
Neural Processing Letters
Letters: A fast fixed-point algorithm for complexity pursuit
Neurocomputing
Letters: Gaussian moments for noisy complexity pursuit
Neurocomputing
Maximum likelihood hebbian learning based Retrieval method for CBR systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Neural business control system
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Blind Source Separation Using Quadratic form Innovation
Neural Processing Letters
Detecting compounded anomalous SNMP situations using cooperative unsupervised pattern recognition
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
The infomin principle for ICA and topographic mappings
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Testing CAB-IDS through mutations: on the identification of network scans
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
MOVICAB-IDS: visual analysis of network traffic data streams for intrusion detection
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Maximum likelihood topology preserving ensembles
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Hybrid linear and nonlinear complexity pursuit for blind source separation
Journal of Computational and Applied Mathematics
idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL injection through data mining
Information Sciences: an International Journal
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A generalization of projection pursuit for time series, that is, signals with time structure, is introduced. The goal is to find projections of time series that have interesting structure, defined using criteria related to Kolmogoroff complexity or coding length. Interesting signals are those that can be coded with a short code length. We derive a simple approximation of coding length that takes into account both the nongaussianity and the autocorrelations of the time series. Also, we derive a simple algorithm for its approximative optimization. The resulting method is closely related to blind separation of nongaussian, time-dependent source signals.