The SCEAS System
| |||||||

## Search the dblp DataBase
Patrik O. Hoyer:
[Publications]
[Author Rank by year]
[Co-authors]
[Prefers]
[Cites]
[Cited by]
## Publications of Author- Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki
**Topographic ICA as a Model of Natural Image Statistics.**[Citation Graph (0, 0)][DBLP] Biologically Motivated Computer Vision, 2000, pp:535-544 [Conf] - Patrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen
**New Permutation Algorithms for Causal Discovery Using ICA.**[Citation Graph (0, 0)][DBLP] ICA, 2006, pp:115-122 [Conf] - Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer, Antti J. Kerminen
**Testing Significance of Mixing and Demixing Coefficients in ICA.**[Citation Graph (0, 0)][DBLP] ICA, 2006, pp:901-908 [Conf] - Patrik O. Hoyer, Aapo Hyvärinen
**Feature Extraction from Color and Stereo Images Using ICA.**[Citation Graph (0, 0)][DBLP] IJCNN (3), 2000, pp:369-376 [Conf] - Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki
**Topographic ICA as a Model of V1 Receptive Fields.**[Citation Graph (0, 0)][DBLP] IJCNN (4), 2000, pp:83-88 [Conf] - Patrik O. Hoyer, Aapo Hyvärinen
**Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior.**[Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:277-284 [Conf] - Aapo Hyvärinen, Patrik O. Hoyer
**Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA.**[Citation Graph (0, 0)][DBLP] NIPS, 1999, pp:827-833 [Conf] - Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja
**Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation.**[Citation Graph (0, 0)][DBLP] NIPS, 1998, pp:473-479 [Conf] - Patrik O. Hoyer
**Non-negative matrix factorization with sparseness constraints**[Citation Graph (0, 0)][DBLP] CoRR, 2004, v:0, n:, pp:- [Journal] - Patrik O. Hoyer
**Non-negative sparse coding**[Citation Graph (0, 0)][DBLP] CoRR, 2002, v:0, n:, pp:- [Journal] - Patrik O. Hoyer
**Modeling receptive fields with non-negative sparse coding.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2003, v:52, n:, pp:547-552 [Journal] - Patrik O. Hoyer, Aapo Hyvärinen
**Sparse coding of natural contours.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2002, v:44, n:, pp:459-466 [Journal] - Aapo Hyvärinen, Patrik O. Hoyer
**Topographic independent component analysis as a model of V1 organization and receptive fields.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 2001, v:38, n:, pp:1307-1315 [Journal] - Patrik O. Hoyer
**Non-negative Matrix Factorization with Sparseness Constraints.**[Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2004, v:5, n:, pp:1457-1469 [Journal] - Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen, Antti Kerminen
**A Linear Non-Gaussian Acyclic Model for Causal Discovery.**[Citation Graph (0, 0)][DBLP] Journal of Machine Learning Research, 2006, v:7, n:, pp:2003-2030 [Journal] - Aapo Hyvärinen, Patrik O. Hoyer
**Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2000, v:12, n:7, pp:1705-1720 [Journal] - Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki
**Topographic Independent Component Analysis.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2001, v:13, n:7, pp:1527-1558 [Journal] - Erkki Oja, Aapo Hyvärinen, Patrik O. Hoyer
**Image Feature Extraction and Denoising by Sparse Coding.**[Citation Graph (0, 0)][DBLP] Pattern Anal. Appl., 1999, v:2, n:2, pp:104-110 [Journal] - M. Asuncion Vicente, Patrik O. Hoyer, Aapo Hyvärinen
**Equivalence of Some Common Linear Feature Extraction Techniques for Appearance-Based Object Recognition Tasks.**[Citation Graph (0, 0)][DBLP] IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:5, pp:896-900 [Journal] - Shohei Shimizu, Aapo Hyvärinen, Patrik O. Hoyer, Yutaka Kano
**Finding a causal ordering via independent component analysis.**[Citation Graph (0, 0)][DBLP] Computational Statistics & Data Analysis, 2006, v:50, n:11, pp:3278-3293 [Journal] - Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer
**Discovery of Non-gaussian Linear Causal Models using ICA.**[Citation Graph (0, 0)][DBLP] UAI, 2005, pp:525-533 [Conf] - Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
**Estimation of linear, non-gaussian causal models in the presence of confounding latent variables**[Citation Graph (0, 0)][DBLP] CoRR, 2006, v:0, n:, pp:- [Journal] **Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity.**[Citation Graph (, )][DBLP]**Telling cause from effect based on high-dimensional observations.**[Citation Graph (, )][DBLP]**Nonlinear causal discovery with additive noise models.**[Citation Graph (, )][DBLP]**Estimation of linear, non-gaussian causal models in the presence of confounding latent variables.**[Citation Graph (, )][DBLP]**Discovering Cyclic Causal Models by Independent Components Analysis.**[Citation Graph (, )][DBLP]**Causal discovery of linear acyclic models with arbitrary distributions.**[Citation Graph (, )][DBLP]
Search in 0.005secs, Finished in 0.007secs | |||||||

| |||||||

| |||||||

System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002 for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002 |