Pavel Laskov
Publications of Pavel Laskov
Journal of Machine Learning Research 5 (2004) 777--800 Submitted 12/03; Revised 5/04; Published 7/04 A Fast Algorithm for Joint Diagonalization with Non-orthogonal
10/2004;
A new efficient algorithm is presented for joint diagonalization of several matrices. The algorithm is based on the Frobenius-norm formulation of the joint diagonalization problem, and addresses
A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation.
Journal of Machine Learning Research. 01/2004; 5:777-800.
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Top Primary Authors
- Andreas Ziehe (2)
Top Senior Authors
- Guido Nolte (1)
- Klaus-Robert Müller (1)
Keywords of Pavel Laskov
addresses diagonalization
Extensive numerical simulations
Frobenius-norm formulation
joint diagonalization
joint diagonalization problem
leading diagonalization methods
new efficient algorithm
proposed algorithm
special approximation
state-of-the-art joint diagonalization algorithms
