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ORCIDAAAI Fall Symposium 2009 - Manifold Learning and Its Applications: Arlington, VA, USA
- Manifold Learning and Its Applications, Papers from the 2009 AAAI Fall Symposium, Arlington, Virginia, USA, November 5-7, 2009. AAAI Technical Report FS-09-04, AAAI 2009
- Mark A. Davenport, Richard G. Baraniuk:
Sparse Geodesic Paths. - Eric Eaton, Gary Holness, Daniel McFarlane:
Interactive Learning Using Manifold Geometry. - Oluwasanmi Koyejo, Joydeep Ghosh:
MiPPS: A Generative Model for Multi-Manifold Clustering. - Anna V. Little, Yoon-Mo Jung, Mauro Maggioni:
Multiscale Estimation of Intrinsic Dimensionality of Data Sets. - Hossein Mobahi, Shankar R. Rao, Yi Ma:
Learning Topology of Curves with Application to Clustering. - Shounak Roychowdhury:
Robust Laplacian Eigenmaps Using Global Information. - Avinash Sharma, Radu Patrice Horaud, David Knossow, Etienne von Lavante:
Mesh Segmentation Using Laplacian Eigenvectors and Gaussian Mixtures. - Kaushik Sinha, Mikhail Belkin:
Semi-Supervised Learning Using Sparse Eigenfunction Bases. - Jeremy Stober, Lewis Fishgold, Benjamin Kuipers:
Sensor Map Discovery for Developing Robots. - Birkan Tunç, Muhittin Gökmen:
Illumination Invariant Face Recognition on Nonlinear Manifolds. - Chang Wang, Sridhar Mahadevan:
A General Framework for Manifold Alignment.
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