Introduction to algorithms
Elements of information theory
Elements of information theory
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Regularization theory and neural networks architectures
Neural Computation
A fast fixed-point algorithm for independent component analysis
Neural Computation
Natural gradient works efficiently in learning
Neural Computation
Nonlinear component analysis as a kernel eigenvalue problem
Neural Computation
The Geometry of Algorithms with Orthogonality Constraints
SIAM Journal on Matrix Analysis and Applications
High-order contrasts for independent component analysis
Neural Computation
Neural Computation
Modified Cholesky Factorizations in Interior-Point Algorithms for Linear Programming
SIAM Journal on Optimization
Journal of Intelligent Information Systems
Sparse Greedy Matrix Approximation for Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
The Effect of the Input Density Distribution on Kernel-based Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Text classification using string kernels
The Journal of Machine Learning Research
Efficient svm training using low-rank kernel representations
The Journal of Machine Learning Research
A Constrained EM Algorithm for Independent Component Analysis
Neural Computation
Tree-dependent component analysis
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Blind separation of mixture of independent sources through aquasi-maximum likelihood approach
IEEE Transactions on Signal Processing
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
Efficient source adaptivity in independent component analysis
IEEE Transactions on Neural Networks
Intelligent data analysis
Learning over sets using kernel principal angles
The Journal of Machine Learning Research
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
ICA using spacings estimates of entropy
The Journal of Machine Learning Research
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
The Journal of Machine Learning Research
Optimal multimodal fusion for multimedia data analysis
Proceedings of the 12th annual ACM international conference on Multimedia
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
ICA using spacings estimates of entropy
The Journal of Machine Learning Research
The Entire Regularization Path for the Support Vector Machine
The Journal of Machine Learning Research
Kernel Vector Approximation Files for Relevance Feedback Retrieval in Large Image Databases
Multimedia Tools and Applications
Predictive low-rank decomposition for kernel methods
ICML '05 Proceedings of the 22nd international conference on Machine learning
A general regression technique for learning transductions
ICML '05 Proceedings of the 22nd international conference on Machine learning
Optimal assignment kernels for attributed molecular graphs
ICML '05 Proceedings of the 22nd international conference on Machine learning
Independent subspace analysis using geodesic spanning trees
ICML '05 Proceedings of the 22nd international conference on Machine learning
Kernel Matched Subspace Detectors for Hyperspectral Target Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition by Kernel independent component analysis
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Block-quantized kernel matrix for fast spectral embedding
ICML '06 Proceedings of the 23rd international conference on Machine learning
Support vector machines framework for linear signal processing
Signal Processing
Kernel projection classifiers with suppressing features of other classes
Neural Computation
Using KCCA for Japanese---English cross-language information retrieval and document classification
Journal of Intelligent Information Systems
Topographic map formation of factorized Edgeworth-expanded kernels
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Kernel Methods for Measuring Independence
The Journal of Machine Learning Research
Signal Processing - Special issue: Information theoretic signal processing
A geometric view on bilingual lexicon extraction from comparable corpora
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Separation of statistically dependent sources using an L2-distance non-Gaussianity measure
Signal Processing - Special section: Distributed source coding
Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes
International Journal of Computer Vision
Statistical properties of kernel principal component analysis
Machine Learning
Statistical Consistency of Kernel Canonical Correlation Analysis
The Journal of Machine Learning Research
Undercomplete Blind Subspace Deconvolution
The Journal of Machine Learning Research
IEEE Transactions on Pattern Analysis and Machine Intelligence
A kernel-based causal learning algorithm
Proceedings of the 24th international conference on Machine learning
Subspace identification of MIMO LPV systems using a periodic scheduling sequence
Automatica (Journal of IFAC)
BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering
Mining competent case bases for case-based reasoning
Artificial Intelligence
Expert Systems with Applications: An International Journal
Constrained subspace ica based on mutual information optimization directly
Neural Computation
EURASIP Journal on Advances in Signal Processing
Classification of face images using local iterated function systems
Machine Vision and Applications
ICA and ISA using Schweizer-Wolff measure of dependence
Proceedings of the 25th international conference on Machine learning
A least squares formulation for canonical correlation analysis
Proceedings of the 25th international conference on Machine learning
Improved Nyström low-rank approximation and error analysis
Proceedings of the 25th international conference on Machine learning
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
The Journal of Machine Learning Research
Correntropy as a novel measure for nonlinearity tests
Signal Processing
Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
A Hilbert Space Embedding for Distributions
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Feature Extraction Using Low-Rank Approximations of the Kernel Matrix
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Nonparametric Independence Tests: Space Partitioning and Kernel Approaches
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Kernel least mean square algorithm with constrained growth
Signal Processing
Expert Systems with Applications: An International Journal
Managing operational business intelligence workloads
ACM SIGOPS Operating Systems Review
Identity Management in Face Recognition Systems
Biometrics and Identity Management
Estimating Squared-Loss Mutual Information for Independent Component Analysis
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
A low complexity robust detector in impulsive noise
Signal Processing
Image Digital Watermarking Technique Based on Kernel Independent Component Analysis
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A general procedure for learning mixtures of independent component analyzers
Pattern Recognition
EURASIP Journal on Advances in Signal Processing
Feature Selection for Value Function Approximation Using Bayesian Model Selection
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Competence driven case-base mining
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Discovering domain-specific composite kernels
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
A procedure of adaptive kernel combination with kernel-target alignment for object classification
Proceedings of the ACM International Conference on Image and Video Retrieval
Fast kernel-based independent component analysis
IEEE Transactions on Signal Processing
Joint blind source separation by multiset canonical correlation analysis
IEEE Transactions on Signal Processing
On the equivalence between canonical correlation analysis and orthonormalized partial least squares
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Feature Extraction Using Linear and Non-linear Subspace Techniques
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Stable algorithms for multiset canonical correlation analysis
ACC'09 Proceedings of the 2009 conference on American Control Conference
On speeding up computation in information theoretic learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On support vector regression machines with linguistic interpretation of the kernel matrix
Fuzzy Sets and Systems
A New Canonical Correlation Analysis Algorithm with Local Discrimination
Neural Processing Letters
Subset based least squares subspace regression in RKHS
Neurocomputing
Residual signal compression based on the blind signal decomposition for video coding
ICUCT'06 Proceedings of the 1st international conference on Ubiquitous convergence technology
Incorporating prior domain knowledge into a kernel based feature selection algorithm
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Robust independent component analysis using quadratic negentropy
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Spectral measures for kernel matrices comparison
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Greedy KPCA in biomedical signal processing
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Joint diagonalization of kernels for information fusion
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Improved wavelet feature extraction using kernel analysis for text independent speaker recognition
Digital Signal Processing
Kernel methods in orthogonalization of multi- and hypervariate data
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Nonlinear non-negative component analysis algorithms
IEEE Transactions on Image Processing
A scalable two-stage approach for a class of dimensionality reduction techniques
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A test of independence based on a generalized correlation function
Signal Processing
Multilabel dimensionality reduction via dependence maximization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Nonnegative Principal Component Analysis for Cancer Molecular Pattern Discovery
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Consistent Nonparametric Tests of Independence
The Journal of Machine Learning Research
Hilbert Space Embeddings and Metrics on Probability Measures
The Journal of Machine Learning Research
Regularized Discriminant Analysis, Ridge Regression and Beyond
The Journal of Machine Learning Research
IEEE Transactions on Information Forensics and Security
Exploiting tag and word correlations for improved webpage clustering
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Extraction of signals with specific temporal structure using kernel methods
IEEE Transactions on Signal Processing
Power-Aware Consolidation of Scientific Workflows in Virtualized Environments
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
Clustered Nyström method for large scale manifold learning and dimension reduction
IEEE Transactions on Neural Networks
Use of prior knowledge in a non-Gaussian method for learning linear structural equation models
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Modeling face appearance with nonlinear independent component analysis
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Large-scale training of SVMs with automata kernels
CIAA'10 Proceedings of the 15th international conference on Implementation and application of automata
Artificial Intelligence in Medicine
Vrisha: using scaling properties of parallel programs for bug detection and localization
Proceedings of the 20th international symposium on High performance distributed computing
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
The Journal of Machine Learning Research
Feature selection for transfer learning
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Generalized foley-sammon transform with kernels
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Radar high range resolution profiles feature extraction based on kernel PCA and kernel ICA
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Measuring statistical dependence with hilbert-schmidt norms
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Non-parametric ICA algorithm for hybrid sources based on GKNN estimation
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Face detection method based on kernel independent component analysis and boosting chain algorithm
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Kernel principal component analysis for large scale data set
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Fast kernel density independent component analysis
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Kernel principal components are maximum entropy projections
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Unified parametric and non-parametric ICA algorithm for arbitrary sources
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
An ICA-Based multivariate discretization algorithm
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
Spectral kernels for classification
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Multiple acoustic sources location based on blind source separation
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
On the low-rank approximation by the pivoted Cholesky decomposition
Applied Numerical Mathematics
Canonical correlation analysis using for DOA estimation of multiple audio sources
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Kernel methods for nonlinear discriminative data analysis
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Managing dynamic mixed workloads for operational business intelligence
DNIS'10 Proceedings of the 6th international conference on Databases in Networked Information Systems
The Journal of Machine Learning Research
Local CCA alignment and its applications
Neurocomputing
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Learning low-rank Mercer kernels with fast-decaying spectrum
Neurocomputing
Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering
ACM Transactions on Intelligent Systems and Technology (TIST)
Sampling methods for the Nyström method
The Journal of Machine Learning Research
Feature selection via dependence maximization
The Journal of Machine Learning Research
Modeling concept dynamics for large scale music search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Sparse spectral clustering method based on the incomplete Cholesky decomposition
Journal of Computational and Applied Mathematics
ABHRANTA: locating bugs that manifest at large system scales
HotDep'12 Proceedings of the Eighth USENIX conference on Hot Topics in System Dependability
Feature extraction for cancer classification using kernel-based methods
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Kernelized temporal cut for online temporal segmentation and recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Dynamic causality analysis on default mode network
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Performance and resource modeling in highly-concurrent OLTP workloads
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Learning uncertainty models from weather forecast performance databases using quantile regression
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Bayesian Canonical correlation analysis
The Journal of Machine Learning Research
Integrated multiscale latent variable regression and application to distillation columns
Modelling and Simulation in Engineering
Towards predicting query execution time for concurrent and dynamic database workloads
Proceedings of the VLDB Endowment
Measuring statistical dependence via the mutual information dimension
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Low rank approximation of the symmetric positive semidefinite matrix
Journal of Computational and Applied Mathematics
Reinforcement learning algorithms with function approximation: Recent advances and applications
Information Sciences: an International Journal
Framing image description as a ranking task: data, models and evaluation metrics
Journal of Artificial Intelligence Research
A unified SVM framework for signal estimation
Digital Signal Processing
A Multi-View Embedding Space for Modeling Internet Images, Tags, and Their Semantics
International Journal of Computer Vision
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We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On the one hand, we show that our contrast functions are related to mutual information and have desirable mathematical properties as measures of statistical dependence. On the other hand, building on recent developments in kernel methods, we show that these criteria and their derivatives can be computed efficiently. Minimizing these criteria leads to flexible and robust algorithms for ICA. We illustrate with simulations involving a wide variety of source distributions, showing that our algorithms outperform many of the presently known algorithms.