Keywords
Independent component analysisPrincipal component analysisTransformation (genetics)Pattern recognition (psychology)AlgorithmMathematicsComputer scienceArtificial intelligence
Affiliated Institutions
Related Publications
Independent Component Analysis
A tutorial-style introduction to a class of methods for extracting independent signals from a mixture of signals originating from different physical sources; includes MatLab com...
Principal component analysis
Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several interâcorrelated quantitative d...
Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets
The distributed brain systems associated with performance of a verbal fluency task were identified in a nondirected correlational analysis of neurophysiological data obtained wi...
MobileNetV2: Inverted Residuals and Linear Bottlenecks
In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as acr...
A fast non-negativity-constrained least squares algorithm
In this paper a modification of the standard algorithm for non-negativity-constrained linear least squares regression is proposed. The algorithm is specifically designed for use...
Publication Info
- Year
- 1994
- Type
- article
- Volume
- 36
- Issue
- 3
- Pages
- 287-314
- Citations
- 8130
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
8130
OpenAlex
Cite This
Pierre Comon
(1994).
Independent component analysis, A new concept?.
Signal Processing
, 36
(3)
, 287-314.
https://doi.org/10.1016/0165-1684(94)90029-9
Identifiers
- DOI
- 10.1016/0165-1684(94)90029-9