Manifold Learning and Its Applications
Papers from the 2009 AAAI Fall Symposium
Richard Souvenir Program Chair
Technical Report FS-09-04. Published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Contents
Sparse Geodesic Paths — [PDF]
Mark A. Davenport, Richard G. Baraniuk
Interactive Learning Using Manifold Geometry — [PDF]
Eric Eaton, Gary Holness, Daniel McFarlane
MiPPS: A Generative Model for Multi-Manifold Clustering — [PDF]
Oluwasanmi Koyejo, Joydeep Ghosh
Multiscale Estimation of Intrinsic Dimensionality of Data Sets — [PDF]
Anna V. Little, Yoon-Mo Jung, Mauro Maggioni
Learning Topology of Curves with Application to Clustering — [PDF]
Hossein Mobahi, Shankar Rao, Yi Ma
Robust Laplacian Eigenmaps Using Global Information — [PDF]
Shounak Roychowdhury
Mesh Segmentation Using Laplacian Eigenvectors and Gaussian Mixtures — [PDF]
Avinash Sharma, Radu Patrice Horaud, David Knossow, Etienne von Lavante
Semi-Supervised Learning Using Sparse Eigenfunction Bases — [PDF]
Kaushik Sinha, Mikhail Belkin
Sensor Map Discovery for Developing Robots — [PDF]
Jeremy Stober, Lewis Fishgold, Benjamin Kuipers
Illumination Invariant Face Recognition on Nonlinear Manifolds — [PDF]
Birkan Tunc, Muhittin Gökmen
A General Framework for Manifold Alignment — [PDF]
Chang Wang, Sridhar Mahadevan
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