Title: | Dimensionality reduction methods for fMRI analysis and visualization Dimensionpudotusmenetelmiä fMRI-analyysissä ja visualisoinnissa |
Author(s): | Nybo, Kristian |
Date: | 2015 |
Language: | en |
Pages: | 51 + app. 55 |
Department: | Tietojenkäsittelytieteen laitos Department of Information and Computer Science |
Supervising professor(s): | Kaski, Samuel, Prof., Aalto University, Department of Information and Computer Science, Finland |
Subject: | Computer science |
Keywords: | functional MRI, dimensionality reduction, variable selection, visualization, graph drawing, funktionaalinen MRI, dimensionpudotus, muuttujanvalinta, visualisointi, graafien piirtäminen |
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Abstract:Monilla aloilla esiintyy tarve korkeaulotteisen, kohinaisen datan analysoimiseen. Algorithminen dimensionpudotus tai muuttujanvalinta ovat usein sovellettavia lähestymistapoja, joko muuta analyysiä edeltävänä esikäsittelynä tai itsenäisenä analyysinä. |
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Parts:[Publication 1]: Kristian Nybo, John Shawe-Taylor, Samuel Kaski, Janaina Mourau-Miranda. Data-driven Selection of Relevant fMRI Voxels using Sparse CCA and Stability Selection. Proceedings of the 3rd NIPS Workshop on Machine Learning and Interpretation in Neuroimaging 2013. Springer[Publication 2]: Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos, Samuel Kaski. Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization. Journal of Machine Learning Research, 11:451-490, 2010[Publication 3]: Juuso Parkkinen, Kristian Nybo, Jaakko Peltonen, and Samuel Kaski. Graph visualization with latent variable models. In Proceedings of MLG-2010, the Eighth Workshop on Mining and Learning with Graphs, 94-101, New York, NY, USA, 2010. ACM. DOI: 10.1145/1830252.1830265 View at Publisher |
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