'Random projections' presentation slideshows

Richard Baraniuk Rice University Supported by NSF, ONR, DARPA TI Leadership University Program

1.01k views • 83 slides

Learning Near-Isometric Linear Embeddings

Learning Near-Isometric Linear Embeddings. Chinmay Hegde MIT Aswin Sankaranarayanan CMU Wotao Yin UCLA. Richard Baraniuk Rice University. Learning Near-Isometric Linear Embeddings. Chinmay Hegde MIT Aswin Sankaranarayanan CMU Wotao Yin UCLA Pope Francis Vatican Institute Tech.

952 views • 79 slides

Compressive Signal Processing

Compressive Signal Processing. Richard Baraniuk Rice University. Better, Stronger, Faster. Analog sensing Digital sensing. Sense by Sampling. too much data!. sample. Case in Point: DARPA ARGUS-IS. 1.8 Gpixel image sensor video rate output: 444 Gbits /s

867 views • 67 slides

Learning Near-Isometric Linear Embeddings

Learning Near-Isometric Linear Embeddings. Chinmay Hegde MIT Aswin Sankaranarayanan CMU Wotao Yin UCLA Edward Snowden Ex-NSA. Richard Baraniuk Rice University. NSA PRISM. 4972 Gbps. Source: Wikipedia.org. NSA PRISM. 4972 Gbps. Source: Wikipedia.org. NSA PRISM.

828 views • 66 slides

The Problem with Music: Modeling Distance Distributions of Large Music Collections

The Problem with Music: Modeling Distance Distributions of Large Music Collections. Prof. Michael Casey Program in Digital Musics Dartmouth College, Hanover, NH. a.k.a. The Problem with Multimedia: Music Music Videos Videos Images. Scalable Similarity. 8M tracks in commercial collection

584 views • 58 slides

Cascaded Filtering For Biometric Identification Using Random Projection

Cascaded Filtering For Biometric Identification Using Random Projection. Atif Iqbal. Thesis Overview. Introduction Motivation Previous Works Cascaded Filtering for Palmprints Cascaded Filtering for Fingerprints Summary and Conclusion. What is Biometrics?.

634 views • 50 slides

Dimensionality reduction

Dimensionality reduction. Outline. From distances to points : MultiDimensional Scaling (MDS) FastMap Dimensionality Reductions or data projections Random projections Principal Component Analysis (PCA). Multi-Dimensional Scaling (MDS).

475 views • 27 slides

Song Intersection by Approximate Nearest Neighbours

Song Intersection by Approximate Nearest Neighbours. Michael Casey, Goldsmiths Malcolm Slaney, Yahoo! Inc. Overview. Large Databases: Everywhere! 8B web pages 50M audio files on web 2M songs Find duplicates with shingles Text-based LSH - Randomized projections Results Best features

239 views • 21 slides

Cascaded Filtering for Biometric Identification using Random Projections

252 views • 18 slides

Alberto Bertoni, Giorgio Valentini

297 views • 14 slides

Presented by: John Paisley Duke University

Random Projections of Signal Manifolds Michael Wakin and Richard Baraniuk Random Projections for Manifold Learning Chinmay Hegde, Michael Wakin and Richard Baraniuk Random Projections of Smooth Manifolds Richard Baraniuk and Michael Wakin. Presented by: John Paisley Duke University.

148 views • 14 slides