Patrik Hoyer
Affiliations: | Helsinki Institute for Information Technology, Espoo, Finland |
Area:
Computation & TheoryGoogle:
"Patrik Hoyer"Mean distance: 14.78 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorAapo Hyvärinen | post-doc | 2004- | Helsinki Institute for Information Technology |
Eero P. Simoncelli | post-doc | 2003-2003 | NYU |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Shimizu S, Hoyer PO, Hyvärinen A. (2009) Estimation of linear non-Gaussian acyclic models for latent factors Neurocomputing. 72: 2024-2027 |
Asunción Vicente M, Hoyer PO, Hyvärinen A. (2007) Equivalence of some common linear feature extraction techniques for appearance-based object recognition tasks. Ieee Transactions On Pattern Analysis and Machine Intelligence. 29: 896-900 |
Shimizu S, Hyvärinen A, Hoyer PO, et al. (2006) Finding a causal ordering via independent component analysis Computational Statistics and Data Analysis. 50: 3278-3293 |
Hoyer PO, Shimizu S, Hyvärinen A, et al. (2006) New permutation algorithms for causal discovery using ICA Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3889: 115-122 |
Shimizu S, Hyvärinen A, Kano Y, et al. (2006) Testing significance of mixing and demixing coefficients in ICA Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3889: 901-908 |
Hyvärinen A, Gutmann M, Hoyer PO. (2005) Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2. Bmc Neuroscience. 6: 12 |
Hoyer PO, Hyvärinen A. (2002) A multi-layer sparse coding network learns contour coding from natural images. Vision Research. 42: 1593-605 |
Hoyer PO, Hyvärinen A. (2002) Sparse coding natural contours Neurocomputing. 44: 459-466 |
Hyvärinen A, Hoyer PO. (2001) A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images. Vision Research. 41: 2413-23 |
Hyvärinen A, Hoyer PO, Inki M. (2001) Topographic independent component analysis. Neural Computation. 13: 1527-58 |