Independent Factor Analysis (1999)

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by H. Attias
Venue:Neural Computation
Citations:219 - 9 self

Active Bibliography

1492 Independent Component Analysis – Aapo Hyvärinen - 2001
Extensions of Linear Independent Component Analysis: Neural and Information-Theoretic Methods – Petteri Pajunen
8 Two-phase computational model training long-term memories in the entorhinal-hippocampal region – András Lörincz, György Buzsáki - 2000
30 Advances in nonlinear blind source separation – Christian Jutten - 2003
On Blind Methods in Signal Processing – Christian Jutten, Massoud Babaie-zadeh, Shahram Hosseini
1 Adaptive methods for blind equalization and signal separation in MIMO systems – Mihai Enescu - 2002
4 Learning midlevel image features for natural scene and texture classification – Hervé Le Borgne, Anne Guérin-Dugué, Noel E. O’Connor - 2007
476 Independent component analysis: algorithms and applications – A. Hyvärinen, E. Oja - 2000
93 Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation – Aapo Hyvärinen - 1999
49 Ensemble learning for independent component analysis – James W. Miskin - 2000
511 Fast and robust fixed-point algorithms for independent component analysis – Aapo Hyvärinen - 1999
1 Representation Learning: A Review and New Perspectives – Yoshua Bengio, Aaron Courville, Pascal Vincent - 1206
6 Nonlinear Approaches To Independent Component Analysis – Te-won Lee - 1999
260 A Unifying Review of Linear Gaussian Models – Sam Roweis, Zoubin Ghahramani - 1999
2 Probabilistic Models of Early Vision – Patrik O. Hoyer - 2002
42 Latent Variable Models for Neural Data Analysis – Maneesh Sahani - 1999
20 Low Entropy Coding with Unsupervised Neural Networks – George Francis Harpur
18 Unsupervised learning – Zoubin Ghahramani - 2004
21 A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case – Guilherme De A. Barreto, Aluizio F. R. Araújo, Stefan C. Kremer - 2003