Manifold Learning and Its Applications
Papers from the 2010 AAAI Fall Symposium
Oluwasanmi Koyejo and Richard Souvenir, Program Cochairs
Technical Report FS-10-06. Published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Contents
Organizing Committee
Oluwasanmi Koyejo, Richard Souvenir
Preface: Manifold Learning and Its Applications
Oluwasanmi Koyejo, Richard Souvenir
Invited Talk Abstracts
Yi Ma, Fei Sha, Lawrence Carin, Gilad Lerman, Neil Lawrence
Isometric Correction for Manifold Learning
Behrouz Behmardi, Raviv Raich
Stratification Learning through Homology Inference
Paul Bendich, Sayan Mukherjee, Bei Wang
Treating Epilepsy by Reinforcement Learning Via Manifold-Based Simulation
Keith Bush, Joelle Pineau
High Dimensional Data Fusion via Joint Manifold Learning
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, Richard G. Baraniuk
Hierarchical Clustering Via Localized Diffusion Folders
Gil David, Amir Averbuch, Ronald R. Coifman
Compressive Spectral Clustering — Error Analysis
Blake A Hunter, Thomas Strohmer
On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and Applications
Effrosyni Kokiopoulou, Daniel Kressner, Pascal Frossard
Building a Job Lanscape from Directional Transition Data
Dominique Perrault-Joncas, Marina Meila, Marc Scott
Detection of Anomaly Trends in Dynamically Evolving Systems
Neta Rabin, Amir Averbuch
Dictionary Optimization for Block-Sparse Representations
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Eldar
Applying Diffusion Distance for Multi-Scale Analysis of An Experience Space
Meng Su, Xiaocong Fan, WeiLi Ge
Alignments of Manifold Sections of Different Dimensions in Manifold Learning
Qiang Ye, Weifeng Zhi
AAAI Digital Library
AAAI relies on your generous support through membership and donations. If you find these resources useful, we would be grateful for your support.