Publications
View AllA 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...
LoRDEC: accurate and efficient long read error correction
Abstract Motivation: PacBio single molecule real-time sequencing is a third-generation sequencing technique producing long reads, with comparatively lower throughput and higher ...
A class of neural networks for independent component analysis
Independent component analysis (ICA) is a recently developed, useful extension of standard principal component analysis (PCA). The ICA model is utilized mainly in blind separati...
Statistical pattern recognition with neural networks: benchmarking studies
Three basic types of neural-like networks (backpropagation network, Boltzmann machine, and learning vector quantization), were applied to two representative artificial statistic...
Variants of self-organizing maps
Self-organizing maps have a bearing on traditional vector quantization. A characteristic that makes them more closely resemble certain biological brain maps, however, is the spa...
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 ...
Affiliated Researchers
Institution Info
- Type
- facility
- Country
- FI
- Publications
- 11
- Citations
- 18,860
External Links
Identifiers
- ROR
- https://ror.org/05kph4940