Abstract is missing.
- Building a Job Lanscape from Directional Transition DataDominique C. Perrault-Joncas, Marina Meila, Marc Scott. [doi]
- Preface: Manifold Learning and Its ApplicationsOluwasanmi Koyejo, Richard Souvenir. [doi]
- Hierarchical Clustering Via Localized Diffusion FoldersGil David, Amir Averbuch, Ronald R. Coifman. [doi]
- Stratification Learning through Homology InferencePaul Bendich, Sayan Mukherjee, Bei Wang. [doi]
- Organizing CommitteeOluwasanmi Koyejo, Richard Souvenir. [doi]
- Dictionary Optimization for Block-Sparse RepresentationsKevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Eldar. [doi]
- On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and ApplicationsEffrosini Kokiopoulou, Daniel Kressner, Pascal Frossard. [doi]
- Applying Diffusion Distance for Multi-Scale Analysis of An Experience SpaceMeng Su, Xiaocong Fan, WeiLi Ge. [doi]
- Compressive Spectral Clustering - Error AnalysisBlake Hunter, Thomas Strohmer. [doi]
- Isometric Correction for Manifold LearningBehrouz Behmardi, Raviv Raich. [doi]
- Invited Talk AbstractsYi Ma, Fei Sha, Lawrence Carin, Gilad Lerman, Neil Lawrence. [doi]
- Detection of Anomaly Trends in Dynamically Evolving SystemsNeta Rabin, Amir Averbuch. [doi]
- High Dimensional Data Fusion via Joint Manifold LearningMark A. Davenport, Chinmay Hegde, Marco F. Duarte, Richard G. Baraniuk. [doi]
- Treating Epilepsy by Reinforcement Learning Via Manifold-Based SimulationKeith Bush, Joelle Pineau. [doi]
- Alignments of Manifold Sections of Different Dimensions in Manifold LearningQiang Ye, Weifeng Zhi. [doi]