A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
A fast fixed-point algorithm for independent component analysis
Neural Computation
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
ISMDA '02 Proceedings of the Third International Symposium on Medical Data Analysis
Feature Extraction Based on ICA for Binary Classification Problems
IEEE Transactions on Knowledge and Data Engineering
Journal of VLSI Signal Processing Systems
Channel selection and feature projection for cognitive load estimation using ambulatory EEG
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Palmprint Recognition Using a Novel Sparse Coding Technique
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Image Reconstruction Using a Modified Sparse Coding Technique
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Independent Component Analysis for Cloud Screening of Meteosat Images
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Blind matrix decomposition via genetic optimization of sparseness and nonnegativity constraints
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Image reconstruction using NMF with sparse constraints based on kurtosis measurement criterion
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Image feature extraction based on an extended non-negative sparse coding neural network model
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
ICA and GA feature extraction and selection for cloud classification
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Recursive generalized eigendecomposition for independent component analysis
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Palmprint recognition using 2d-gabor wavelet based sparse coding and RBPNN classifier
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
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Sparse coding is a method for finding a representation of data in which each of the components of the representation is only rarely significantly active. Such a representation is closely related to the techniques of independent component analysis and blind source separation. In this paper, we investigate the application of sparse coding for image feature extraction. We show how sparse coding can be used to extract wavelet-like features from natural image data. As an application of such a feature extraction scheme, we show how to apply a soft-thresholding operator on the components of sparse coding in order to reduce Gaussian noise. Methods based on sparse coding have the important benefit over wavelet methods that the features are determined solely by the statistical properties of the data, while the wavelet transformation relies heavily on certain abstract mathematical properties that may be only weakly related to the properties of the natural data.