Representative Previous Work ISOMAP: Geodesic Distance Preserving J. Tenenbaum et al., 2000 LLE: Local Neighborhood Relationship Preserving S. Roweis &
GEO-CAPE Emissions Working Group What are the benefits of geostationary (GEO) measurements for constraining emissions and chemical processes? Answer using.
Motivation
Learning a Kernel Matrix for Nonlinear Dimensionality Reduction By K. Weinberger, F. Sha, and L. Saul Presented by Michael Barnathan.
Kernels Usman Roshan CS 675 Machine Learning. Feature space representation Consider two classes shown below Data cannot be separated by a hyperplane.
Kernel based data fusion
Kernelized Discriminant Analysis and Adaptive Methods for Discriminant Analysis
Integration II Prediction. Kernel-based data integration SVMs and the kernel “trick” Multiple-kernel learning Applications – Protein function prediction.
Segmentation via Genetic Programming
Ch 7. Sparse Kernel Machines Pattern Recognition and Machine Learning, C. M. Bishop, 2006. Summarized by S. Kim Biointelligence Laboratory, Seoul National.
Accounting for non-sphericity of aerosol particles in photopolarimetric remote sensing of desert dust Oleg Dubovik (UMBC / GSFC, Code 923) Alexander Sinyuk.
Learning a Kernel Matrix for Nonlinear Dimensionality Reduction
