'Low dimensional' presentation slideshows

Richard G. Baraniuk Chinmay Hegde Sriram Nagaraj

Manifold Learning in the Wild A New Manifold Modeling and Learning Framework for Image Ensembles Aswin C. Sankaranarayanan Rice University. Richard G. Baraniuk Chinmay Hegde Sriram Nagaraj. Sensor Data Deluge. Concise Models.

974 views • 80 slides

Structure learning with deep neuronal networks

814 views • 75 slides

Statistical Analyses of Life Science and Pathology from Genomic Perspective

Statistical Analyses of Life Science and Pathology from Genomic Perspective. Unit of Statistical Genetics, Kyoto University Ryo Yamada ryamada@genome.med.kyoto-u.ac.jp. Roles of statistics/data science for genome/omics. Quality Control of Noisy High-Throughput Data

641 views • 64 slides

Pre-computed Radiance Transfer

750 views • 60 slides

Progressive Computation of Constrained Subspace Skyline Queries

Progressive Computation of Constrained Subspace Skyline Queries. Evangelos Dellis 1 Akrivi Vlachou 1 Ilya Vladimirskiy 1 Bernhard Seeger 1 Yannis Theodoridis 2 1 Department of Computer Science, University of Marburg, Germany

546 views • 40 slides

Richard G. Baraniuk Chinmay Hegde

Manifold Learning in the Wild A New Manifold Modeling and Learning Framework for Image Ensembles Aswin C. Sankaranarayanan Rice University. Richard G. Baraniuk Chinmay Hegde. Sensor Data Deluge. Internet Scale Databases. Tremendous size of corpus of available data

466 views • 36 slides

Richard G. Baraniuk Chinmay Hegde

Manifold Learning in the Wild A New Manifold Modeling and Learning Framework for Image Ensembles Aswin C. Sankaranarayanan Rice University. Richard G. Baraniuk Chinmay Hegde. Sensor Data Deluge. Internet Scale Databases. Tremendous size of corpus of available data

363 views • 36 slides

Magnetostrictive Models

Magnetostrictive Models. Low dimensional models. R. Venkataraman, P. S. Krishnaprasad. Presentation to Dr. Randy Zachery, ARO May 25, 2004, Harvard University. Magnetostrictive models. Experimental data from actuators. validation. validation. model. model.

259 views • 23 slides

Multiscale Data Assimilation

Multiscale Data Assimilation. Multiscale Dimensionality Reduction for Rainfall Fields. Eulerian vs. Lagrangian Perspectives. Some Difficulties in Rainfall Assimilation. truth. truth. model. precipitation. model. y. x. time. Rainfall Errors at a Point:

261 views • 14 slides

Modified Multi-Dimensional Scaling (MDS) Algorithm for Mining Gene Expression Patterns

Modified Multi-Dimensional Scaling (MDS) Algorithm for Mining Gene Expression Patterns. X.J. Ge*, S. Yonamene*, Y.M. Mi*, S. Tsutsumi**, Y. Kobune**, H. Aburatani** and S. Iwata* *Research into Artifacts, Center for Engineering (RACE), The University of Tokyo,

185 views • 6 slides

University of British Columbia (Canada)

281 views • 4 slides