'Intrinsic dimensionality' diaporamas de présentation

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Milo š Radovanović Department of Mathematics and Informatics

Milo š Radovanović Department of Mathematics and Informatics

Hubs in Nearest-Neighbor Graphs: Origins, Applications and Challenges. Milo š Radovanović Department of Mathematics and Informatics Faculty of Science s , University of Novi Sad , Serbia. Thanks. Workshop organizers Kenji Fukumizu I nstitute of Statistical Mathematics, Tok yo, Japan

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864 views • 66 slides
Milo š Radovanović Department of Mathematics and Informatics

Milo š Radovanović Department of Mathematics and Informatics

Hubs in Nearest-Neighbor Graphs: Origins, Applications and Challenges. Milo š Radovanović Department of Mathematics and Informatics Faculty of Science s , University of Novi Sad , Serbia. Thanks. Workshop organizers Kenji Fukumizu I nstitute of Statistical Mathematics, Tok yo, Japan

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687 views • 66 slides
F4: Large Scale Automated Forecasting Using Fractals

F4: Large Scale Automated Forecasting Using Fractals

F4: Large Scale Automated Forecasting Using Fractals. -Deepayan Chakrabarti -Christos Faloutsos. Outline. Introduction/Motivation Survey and Lag Plots Exact Problem Formulation Proposed Method Fractal Dimensions Background Our method Results Conclusions. ?. General Problem Definition.

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566 views • 53 slides
Project 11: Determining the Intrinsic Dimensionality of a Distribution

Project 11: Determining the Intrinsic Dimensionality of a Distribution

Project 11: Determining the Intrinsic Dimensionality of a Distribution. Okke Formsma, Nicolas Roussis and Per Løwenborg. Outline. About the project What is intrinsic dimensionality? How can we assess the ID? PCA Neural Network Nearest Neighbour Experimental Results.

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591 views • 49 slides
Hubness in the Context of Feature Selection and Generation

Hubness in the Context of Feature Selection and Generation

Hubness in the Context of Feature Selection and Generation. Milo š Radovanović 1 Alexandros Nanopoulos 2 Mirjana Ivanovi ć 1 1 Department of Mathematics and Informatics Faculty of Science, University of Novi Sad , Serbia 2 Institute of Computer Science University of Hildesheim, Germany.

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442 views • 25 slides
Manifold Clustering of Shapes

Manifold Clustering of Shapes

Manifold Clustering of Shapes Dragomir Yankov, Eamonn Keogh Dept. of Computer Science & Eng. University of California Riverside Outline Problem formulation Shape space representation. Similarity metric. Manifold clustering of shapes Handling noisy and bridged clusters

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612 views • 10 slides

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