Frank Jäkel - Publications

Affiliations: 
Max Planck Institute for Biological Cybernetics, Tübingen, Baden-Württemberg, Germany 
Area:
Categorization

9 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Jäkel F, Singh M, Wichmann FA, Herzog M. An Overview of Quantitative Approaches in Gestalt Perception. Vision Research. PMID 27353224 DOI: 10.1016/J.Visres.2016.06.004  0.632
2016 Jäkel F, Singh M, Wichmann F, Herzog M. Editorial. Vision Research. PMID 27317551 DOI: 10.1016/J.Visres.2016.06.001  0.63
2015 Gershman SJ, Tenenbaum JB, Jäkel F. Discovering hierarchical motion structure. Vision Research. PMID 25818905 DOI: 10.1016/j.visres.2015.03.004  0.593
2009 Jäkel F, Schölkopf B, Wichmann FA. Does cognitive science need kernels? Trends in Cognitive Sciences. 13: 381-8. PMID 19729333 DOI: 10.1016/j.tics.2009.06.002  0.667
2008 Jäkel F, Schölkopf B, Wichmann FA. Generalization and similarity in exemplar models of categorization: insights from machine learning. Psychonomic Bulletin & Review. 15: 256-71. PMID 18488638 DOI: 10.3758/PBR.15.2.256  0.667
2008 Jäkel F, Schölkopf B, Wichmann FA. Similarity, kernels, and the triangle inequality Journal of Mathematical Psychology. 52: 297-303. DOI: 10.1016/j.jmp.2008.03.001  0.667
2007 Jäkel F, Schölkopf B, Wichmann FA. A tutorial on kernel methods for categorization Journal of Mathematical Psychology. 51: 343-358. DOI: 10.1016/j.jmp.2007.06.002  0.667
2006 Jäkel F, Wichmann FA. Spatial four-alternative forced-choice method is the preferred psychophysical method for naïve observers. Journal of Vision. 6: 1307-22. PMID 17209737 DOI: 10.1167/6.11.13  0.633
2005 Kuss M, Jäkel F, Wichmann FA. Bayesian inference for psychometric functions. Journal of Vision. 5: 478-92. PMID 16097878 DOI: 10:1167/5.5.8  0.633
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