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Home / Proceedings / Papers from the 2009 AAAI Fall Symposium /

No. 4: Manifold Learning and Its Applications

All Papers

  • A General Framework for Manifold Alignment

    Chang Wang, Sridhar Mahadevan

    PDF
  • Sparse Geodesic Paths

    Mark A. Davenport, Richard G. Baraniuk

    PDF
  • Interactive Learning Using Manifold Geometry

    Eric Eaton, Gary Holness, Daniel McFarlane

    PDF
  • MiPPS: A Generative Model for Multi-Manifold Clustering

    Oluwasanmi Koyejo, Joydeep Ghosh

    PDF
  • Multiscale Estimation of Intrinsic Dimensionality of Data Sets

    Anna V. Little, Yoon-Mo Jung, Mauro Maggioni

    PDF
  • Learning Topology of Curves with Application to Clustering

    Hossein Mobahi, Shankar Rao, Yi Ma

    PDF
  • Robust Laplacian Eigenmaps Using Global Information

    Shounak Roychowdhury

    PDF
  • Mesh Segmentation Using Laplacian Eigenvectors and Gaussian Mixtures

    Avinash Sharma, Radu Patrice Horaud, David Knossow, Etienne von Lavante

    PDF
  • Semi-Supervised Learning Using Sparse Eigenfunction Bases

    Kaushik Sinha, Mikhail Belkin

    PDF
  • Sensor Map Discovery for Developing Robots

    Jeremy Stober, Lewis Fishgold, Benjamin Kuipers

    PDF
  • Illumination Invariant Face Recognition on Nonlinear Manifolds

    Birkan Tunc, Muhittin Gökmen

    PDF

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