Approach and applications of constrained ICA

By Wei Lu, Jagath Rajapakse. IEEE Transactions on Neural Networks, 2005

301 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/c8be09d9dce6e360edb90defb267275a7a286467

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Gert Pfurtscheller

In Signal Processing

1. Robert Leeb
2. Clemens Brunner
3. Bernhard Graimann
4. Gert Pfurtscheller
5. Muhammad Naeem
6. Fabien Lotte

Citations in the corpus

• Group information guided ICA for fMRI data analysis (2013, unknown): “The Lagrange multipliers can be updated using the gradient ascent method (Lu and Rajapakse, 2005).”
• Seperability of four-class motor imagery data using independent components analysis (2006, methodology): “The other way is to create probability distribution functions of reference signals (Lu and Rajapakse 2005) and incorporate them directly as models in ICA algorithms.”