Publications
12 shownFast and robust fixed-point algorithms for independent component analysis
Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into components that are statistically as independent fr...
A Fast Fixed-Point Algorithm for Independent Component Analysis
We introduce a novel fast algorithm for independent component analysis, which can be used for blind source separation and feature extraction. We show how a neural network learni...
SURVEY OF INDEPENDENT COMPONENT ANALYSIS
A common problem encountered in such disciplines as statistics, data analysis, signal processing, and neural network research, is nding a suitable representation of multivariate...
Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation
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 i...
Gaussian moments for noisy independent component analysis
A novel approach for the problem of estimating the data model of independent component analysis (or blind source separation) in the presence of Gaussian noise is introduced. We ...
Independent Component Analysis
In this chapter, we discuss a statistical generative model called independent component analysis. It is basically a proper probabilistic formulation of the ideas underpinning sp...
Frequent Co-Authors
Researcher Info
- h-index
- 12
- Publications
- 12
- Citations
- 33,800
- Institution
- University of Helsinki
External Links
Identifiers
- ORCID
- 0000-0002-5806-4432
Impact Metrics
h-index: Number of publications with at least h citations each.