Optimized Feature Extraction and the Bayes Decision in Feed-Forward Classifier Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Problem of Local Minima in Backpropagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dimension reduction by local principal component analysis
Neural Computation
Non-linear dimensionality reduction techniques for unsupervised feature extraction
Pattern Recognition Letters
A unifying review of linear Gaussian models
Neural Computation
Feature extraction through LOCOCODE
Neural Computation
A Fast and Accurate Face Detector Based on Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic tunneling based regularization in feedforward neural networks
Artificial Intelligence
Learning the parts of objects by auto-association
Neural Networks
A Constrained Generative Model Applied to Face Detection
Neural Processing Letters
IEEE Transactions on Computers
Unsupervised feature extraction using neuro-fuzzy approach
Fuzzy Sets and Systems - Information processing
Neural network modeling for near wall turbulent flow
Journal of Computational Physics
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
High speed associative memories for feature extraction and visualisation
Pattern Recognition Letters
A Framework for Robust Subspace Learning
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
An effective learning of neural network by using RFBP learning algorithm
Information Sciences—Informatics and Computer Science: An International Journal
Nonlinear feature extraction using a neuro genetic hybrid
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear Autoassociation Is Not Equivalent to PCA
Neural Computation
2005 Special issue: Recursive principal components analysis
Neural Networks - Special issue on neural networks and kernel methods for structured domains
2005 Special Issue: The loading problem for recursive neural networks
Neural Networks - Special issue on neural networks and kernel methods for structured domains
Neural Computation
Discriminative cluster analysis
ICML '06 Proceedings of the 23rd international conference on Machine learning
Linear recursive distributed representations
Neural Networks
Constrained Projection Approximation Algorithms for Principal Component Analysis
Neural Processing Letters
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
Artificial neural network models for wind power short-term forecasting using weather predictions
MIC'06 Proceedings of the 25th IASTED international conference on Modeling, indentification, and control
The Bilipschitz criterion for dimension reduction mapping design
Intelligent Data Analysis
Neuronal principal component analysis for an optimal representation of multispectral images
Intelligent Data Analysis
Greenhouse modeling using neural networks
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Temporal evolution of generalization during learning in linear networks
Neural Computation
Cases, Predictions, and Accuracy Learning and Its Application to Effort Estimation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Dimension Reduction and Data Visualization Using Neural Networks
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Adaptive synchronization of activities in a recurrent network
Neural Computation
A comparison of three methods for principal component analysis of fuzzy interval data
Computational Statistics & Data Analysis
Computational capabilities of graph neural networks
IEEE Transactions on Neural Networks
Bilinear kernel reduced rank regression for facial expression synthesis
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Quasi-objective nonlinear principal component analysis
Neural Networks
The Journal of Machine Learning Research
Face recognition using local graph structure (LGS)
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: interaction techniques and environments - Volume Part II
Nonlinear visualization of incomplete data sets
CSR'06 Proceedings of the First international computer science conference on Theory and Applications
Adaptively incremental self-organizing isometric embedding
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Thought leaders during crises in massive social networks
Statistical Analysis and Data Mining
Neural Networks
Distributed static linear Gaussian models using consensus
Neural Networks
Autoencoding ground motion data for visualisation
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
The dropout learning algorithm
Artificial Intelligence
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