| Year |
Citation |
Score |
| 2022 |
Kurki I, Hyvärinen A, Henriksson L. Dynamics of retinotopic spatial attention revealed by multifocal MEG. Neuroimage. 263: 119643. PMID 36150606 DOI: 10.1016/j.neuroimage.2022.119643 |
0.698 |
|
| 2016 |
Kurki I, Hyvärinen A, Saarinen J. Template optimization and transfer in perceptual learning. Journal of Vision. 16: 16. PMID 27559720 DOI: 10.1167/16.10.16 |
0.702 |
|
| 2014 |
Kurki I, Saarinen J, Hyvärinen A. Investigating shape perception by classification images. Journal of Vision. 14. PMID 25342541 DOI: 10.1167/14.12.24 |
0.745 |
|
| 2014 |
Gutmann MU, Laparra V, Hyvärinen A, Malo J. Spatio-chromatic adaptation via higher-order canonical correlation analysis of natural images. Plos One. 9: e86481. PMID 24533049 DOI: 10.1371/Journal.Pone.0086481 |
0.301 |
|
| 2010 |
Kurki I, Hyvarinen A, Saarinen J. Analysing spatiotemporal dynamics in contrast detection by Classification Images Journal of Vision. 7: 254-254. DOI: 10.1167/7.9.254 |
0.729 |
|
| 2010 |
Kurki I, Hyvarinen A, Laurinen PI. Exploring the spatiotemporal dynamics of brightness perception by reverse correlation Journal of Vision. 5: 560-560. DOI: 10.1167/5.8.560 |
0.705 |
|
| 2010 |
Kurki I, Hyvarinen A, Saarinen J. Using classification images to reveal the critical features in global shape perception Journal of Vision. 10: 1174-1174. DOI: 10.1167/10.7.1174 |
0.735 |
|
| 2009 |
Kurki I, Peromaa T, Hyvärinen A, Saarinen J. Visual features underlying perceived brightness as revealed by classification images. Plos One. 4: e7432. PMID 19823590 DOI: 10.1371/Journal.Pone.0007432 |
0.743 |
|
| 2009 |
Shimizu S, Hoyer PO, Hyvärinen A. Estimation of linear non-Gaussian acyclic models for latent factors Neurocomputing. 72: 2024-2027. DOI: 10.1016/j.neucom.2008.11.018 |
0.508 |
|
| 2008 |
Lindgren JT, Hurri J, Hyvärinen A. Spatial dependencies between local luminance and contrast in natural images. Journal of Vision. 8: 6.1-13. PMID 18831619 DOI: 10.1167/8.12.6 |
0.339 |
|
| 2007 |
Asunción Vicente M, Hoyer PO, Hyvärinen A. 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. PMID 17356208 DOI: 10.1109/TPAMI.2007.1074 |
0.562 |
|
| 2007 |
Lindgren JT, Hyvärinen A. Emergence of conjunctive visual features by quadratic Independent Component Analysis Advances in Neural Information Processing Systems. 897-904. |
0.363 |
|
| 2007 |
Lindgren JT, Hurri J, Hyvärinen A. The statistical properties of local log-contrast in natural images Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4522: 354-363. |
0.321 |
|
| 2006 |
Kurki I, Hyvärinen A, Laurinen P. Collinear context (and learning) change the profile of the perceptual filter. Vision Research. 46: 2009-14. PMID 16473386 DOI: 10.1016/J.Visres.2006.01.003 |
0.746 |
|
| 2006 |
Shimizu S, Hyvärinen A, Hoyer PO, Kano Y. Finding a causal ordering via independent component analysis Computational Statistics and Data Analysis. 50: 3278-3293. DOI: 10.1016/j.csda.2005.05.004 |
0.524 |
|
| 2006 |
Hoyer PO, Shimizu S, Hyvärinen A, Kano Y, Kerminen AJ. 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. DOI: 10.1007/11679363_15 |
0.48 |
|
| 2006 |
Shimizu S, Hyvärinen A, Kano Y, Hoyer PO, Kerminen AJ. 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. DOI: 10.1007/11679363_112 |
0.488 |
|
| 2005 |
Hyvärinen A, Gutmann M, Hoyer PO. Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2. Bmc Neuroscience. 6: 12. PMID 15715907 DOI: 10.1186/1471-2202-6-12 |
0.604 |
|
| 2004 |
Lindgren JT, Hyvärinen A. Learning high-level independent components of images through a spectral representation Proceedings - International Conference On Pattern Recognition. 2: 72-75. |
0.339 |
|
| 2002 |
Hoyer PO, Hyvärinen A. A multi-layer sparse coding network learns contour coding from natural images. Vision Research. 42: 1593-605. PMID 12074953 DOI: 10.1016/S0042-6989(02)00017-2 |
0.595 |
|
| 2002 |
Hoyer PO, Hyvärinen A. Sparse coding natural contours Neurocomputing. 44: 459-466. DOI: 10.1016/S0925-2312(02)00400-9 |
0.513 |
|
| 2001 |
Hyvärinen A, Hoyer PO. A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images. Vision Research. 41: 2413-23. PMID 11459597 DOI: 10.1016/S0042-6989(01)00114-6 |
0.59 |
|
| 2001 |
Hyvärinen A, Hoyer PO, Inki M. Topographic independent component analysis. Neural Computation. 13: 1527-58. PMID 11440596 DOI: 10.1162/089976601750264992 |
0.542 |
|
| 2001 |
Hyvärinen A, Hoyer PO. Topographic independent component analysis as a model of V1 organization and receptive fields Neurocomputing. 38: 1307-1315. DOI: 10.1016/S0925-2312(01)00490-8 |
0.526 |
|
| 2000 |
Hoyer PO, Hyvärinen A. Independent component analysis applied to feature extraction from colour and stereo images. Network (Bristol, England). 11: 191-210. PMID 11014668 |
0.358 |
|
| 2000 |
Hyvärinen A, Hoyer P. Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural Computation. 12: 1705-20. PMID 10935923 DOI: 10.1162/089976600300015312 |
0.607 |
|
| 2000 |
Hoyer PO, Hyvärinen A. Independent component analysis applied to feature extraction from colour and stereo images Network: Computation in Neural Systems. 11: 191-210. DOI: 10.1088/0954-898X_11_3_302 |
0.615 |
|
| 2000 |
Hyvärinen A, Hoyer PO, Inki M. Topographic ICA as a model of natural image statistics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1811: 535-544. DOI: 10.1007/3-540-45482-9_54 |
0.627 |
|
| 1999 |
Oja E, Hyvärinen A, Hoyer P. Image Feature Extraction and Denoising by Sparse Coding Pattern Analysis & Applications. 2: 104-110. DOI: 10.1007/s100440050021 |
0.617 |
|
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