Open AccessWhat Is the Relation Between Slow Feature Analysis and Independent Component Analysis?
Author(s) -
Tobias Blaschke,
Pietro Berkes,
Laurenz Wiskott
Publication year - 2006
Publication title -
neural computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.235
H-Index - 169
eISSN - 1530-888X
pISSN - 0899-7667
DOI - 10.1162/neco.2006.18.10.2495
Subject(s) - independent component analysis , feature (linguistics) , component analysis , component (thermodynamics) , relation (database) , pattern recognition (psychology) , network analysis , computer science , principal component analysis , mathematics , algorithm , artificial intelligence , data mining , physics , philosophy , linguistics , quantum mechanics , thermodynamics
We present an analytical comparison between linear slow feature analysis and second-order independent component analysis, and show that in the case of one time delay, the two approaches are equivalent. We also consider the case of several time delays and discuss two possible extensions of slow feature analysis.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom