'Manifold' presentation slideshows

Richard Baraniuk Mark Davenport Marco Duarte Chinmay Hegde Rice University Michael Wakin

Manifold Models for Signal Acquisition, Compression and Processing. Richard Baraniuk Mark Davenport Marco Duarte Chinmay Hegde Rice University Michael Wakin Colorado School of Mines. Supported by NSF, ONR, ARO, AFOSR, DARPA, Texas Instruments. Digital Sensing Revolution.

686 views • 54 slides

Richard G. Baraniuk Chinmay Hegde Sriram Nagaraj

Go With The Flow 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. large wavelet coefficients (blue = 0). pixels.

660 views • 50 slides

1.5k views • 48 slides

Richard Baraniuk, Volkan Cevher Rice University Ron DeVore Texas A&M University Martin Wainwright

New Theory and Algorithms for Scalable Data Fusion. Richard Baraniuk, Volkan Cevher Rice University Ron DeVore Texas A&M University Martin Wainwright University of California-Berkeley Michael Wakin Colorado School of Mines. Networked Sensing. Goals sense communicate fuse

597 views • 41 slides

4.1.6

4.1.6. Designing Underground ASME Tank Installations.

498 views • 35 slides

Manifold-Enhanced Compressive Measurement

Manifold-Enhanced Compressive Measurement. Richard Baraniuk Aswin Sankaranarayanan Chinmay Hegde. Research Highlight. 500:1. In an image classification task , exploiting manifold signal prior improves resilience to noise by 500:1 (27dB). CoM System Architecture. Why CM Works.

441 views • 35 slides

Design for 3D Printing

Design for 3D Printing. Cody Wilson -Arkansas. Water bottle holder for my recumbent bicycle's oval shaped frame. Replacement for the plastic table clamp of an old Luxo lamp Replacement plastic foot for a camera tripod Extension for my mouse to make it large enough for my hand

453 views • 30 slides

Zhuyin (laniu) Ren October 18 th , 2004

351 views • 25 slides

Non-Isometric Manifold Learning Analysis and an Algorithm

396 views • 22 slides

LS1 Project

LS1 Project. Weld in dowel holes to move head over bores. Index and install new dowel hole. Remove seat rings for larger valves. Port cylinder head. Cut manifold in half for offset of heads. Flow head and manifold. With manifold cut in half, that makes porting easier. A second view.

259 views • 17 slides

MARTA - NEXT STEPS

MARTA - NEXT STEPS. MOVING TO THE 21 ST CENTURY. Bus Maintenance Facilities. Brady. Perry. *. *. *. Laredo. Browns Mill & Hamilton. *. BMHM / Hamilton Garage.

373 views • 16 slides

CRF-based Activity Recognition on Manifolds

CRF-based Activity Recognition on Manifolds. Presented by Arshad Jamal and Prakhar Banga. Introduction.

379 views • 16 slides

894 views • 15 slides

Manifold Lab 2

Manifold Lab 2. Introduction Basic Concepts First Examples. Summary. Introduction Basic concepts Hello World Example Constructing manifold applications Fibonacci Series Example. Introduction. Coordination models fall into two categories:

410 views • 15 slides

Non-manifold Multiresolution Modeling (some preliminary results)

Non-manifold Multiresolution Modeling (some preliminary results). Leila De Floriani DISI University of Genova Genova (Italy). Non-Manifold Multiresolution Modeling.

246 views • 13 slides

Non-Manifold Multi-Resolution Modeling

Non-Manifold Multi-Resolution Modeling. Geometric Modeling and Computer Graphics Group Department of Computer and Information Sciences University of Genova, Genova (Italy) http://www.disi.unige.it/person/DeflorianiL/. What does Non-Manifold Mean?.

328 views • 12 slides

Laniu S. B. Pope Feb. 24 th , 2005

192 views • 12 slides

Manifold Topics

Manifold Topics. Infra Mechanical and Thermal Team. Glenn Charest & John Fernandes. Data Center Source Liquid. What ? T ranges or flow rates does the solution need to support? What liquid types need to be supported?

254 views • 11 slides

Charts

Charts. A chart is a neighborhood W and function f . W ? X f : W ? E d f is a diffeomorphism The dimension of the chart is the dimension d of E d . Coordinate Chart. 2-sphere: S 2. x. X. W. f. real plane: E 2.

190 views • 10 slides

K Nearest Neighbor Classification Methods

K Nearest Neighbor Classification Methods. Qiang Yang. Training Set. Used for prediction/classification Given input x, (e.g., <sunny, normal, ..?> #neighbors = K (e.g., k=3) Often a parameter to be determined The form of the distance function

216 views • 5 slides