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Markus Maier

Raum Nummer: 214

 

Bild von Maier, Markus

Markus Maier

Position: Wissenschaftler  Abteilung: 

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Artikel (2):

Maier M, von Luxburg U und Hein M (Januar-2013) How the result of graph clustering methods depends on the construction of the graph ESAIM: Probability and Statistics 17 370-418.
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Maier M, Hein M und von Luxburg U (April-2009) Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters Theoretical Computer Science 410(19) 1749-1764.
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Beiträge zu Tagungsbänden (4):

Maier M, von Luxburg U und Hein M (Juni-2009) Influence of graph construction on graph-based clustering measures In: Advances in neural information processing systems 21, , Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1025-1032.
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Maier M, Hein M und von Luxburg U (Oktober-2007) Cluster Identification in Nearest-Neighbor Graphs In: Algorithmic Learning Theory, , 18th International Conference on Algorithmic Learning Theory (ALT 2007), Springer, Berlin, Germany, 196-210, Series: Lecture Notes in Computer Science ; 4754.
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Hein M und Maier M (September-2007) Manifold Denoising In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 561-568.
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Hein M und Maier M (Juli-2007) Manifold Denoising as Preprocessing for Finding Natural Representations of Data, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), AAAI Press, Menlo Park, CA, USA, 1646-1649.
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Technische Berichte (2):

Giesen J, Maier M und Schölkopf B: Simultaneous Implicit Surface Reconstruction and Meshing, 179, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2008).
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Maier M, Hein M und von Luxburg U: Cluster Identification in Nearest-Neighbor Graphs, 163, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, (Mai-2007).
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Last updated: Montag, 22.05.2017