'Singular value decomposition' presentation slideshows

Quantum Computing

Quantum Computing. Lecture on Linear Algebra. Sources: Angela Antoniu , Bulitko, Rezania, Chuang, Nielsen . Goals:. Review circuit fundamentals Learn more formalisms and different notations. Cover necessary math more systematically Show all formal rules and equations.

1.33k views • 68 slides

Eigenimage Methods for Face Recognition

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Deciphering Gene Regulatory Networks by in silico approaches

Deciphering Gene Regulatory Networks by in silico approaches . Sridhar Hannenhalli Penn Center for Bioinformatics Department of Genetics University of Pennsylvania. Transcriptional Regulation. Transcription Start Site. Interactions and Modules. TF-DNA binding. Overview.

904 views • 62 slides

FMRI Data Analysis II: Connectivity Analyses

FMRI Data Analysis II: Connectivity Analyses. Dr. George Andrew James Research Associate The Wallace H. Coulter Department of Biomedical Engineering at the Georgia Institute of Technology & Emory University School of Medicine Tuesday, November 17, 2009. Overview of Connectivity Analyses.

999 views • 55 slides

Last lecture summary

951 views • 53 slides

Algorithms for Large Data Sets

Algorithms for Large Data Sets. Ziv Bar-Yossef. Lecture 5 April 23, 2006. http://www.ee.technion.ac.il/courses/049011. Ranking Algorithms. PageRank [Page, Brin, Motwani, Winograd 1998]. Motivating principles Rank of p should be proportional to the rank of the pages that point to p

580 views • 45 slides

Inverting the Jacobian and Manipulability

Inverting the Jacobian and Manipulability. Howie Choset (with notes copied from Rob Platt). The Inverse Problem. Quick review of linear algebra. Forward Kinematics is in general many to one (if more joint angles than DOF in WS), non linear

1.31k views • 44 slides

Clustering and Partitioning for Spatial and Temporal Data Mining

934 views • 43 slides

Extensions of Non-negative Matrix Factorization to Higher Order data

533 views • 37 slides

Solving Linear Systems (Numerical Recipes, Chap 2)

Solving Linear Systems (Numerical Recipes, Chap 2). Jehee Lee Seoul National University. A System of Linear Equations. Consider a matrix equation There are many different methods for solving this problem We will not discuss how to solve it precisely

828 views • 35 slides

Uncalibrated reconstruction

Uncalibrated reconstruction. Calibration with a rig Uncalibrated epipolar geometry Ambiguities in image formation Stratified reconstruction Autocalibration with partial scene knowledge. Uncalibrated Camera. calibrated coordinates. Linear transformation. pixel coordinates.

597 views • 31 slides

Projective 3D geometry class 4

Projective 3D geometry class 4. Multiple View Geometry Comp 290-089 Marc Pollefeys. Content. Background : Projective geometry (2D, 3D), Parameter estimation, Algorithm evaluation. Single View : Camera model, Calibration, Single View Geometry.

670 views • 30 slides

Covariance Matrix Applications

Covariance Matrix Applications. Dimensionality Reduction. Outline. What is the covariance matrix? Example Properties of the covariance matrix Spectral Decomposition Principal Component Analysis. Covariance Matrix.

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359 views • 21 slides

Artificial Neural Network Prediction of Major League Baseball Teams Winning Percentages

Artificial Neural Network Prediction of Major League Baseball Teams Winning Percentages. Scott Wiese ECE 539 Professor Hu. Motivation. Current trends in managing player personnel focuses heavily on statistics to weigh future production against potential salaries.

362 views • 19 slides

Optimal CSD and Truncated SVD for Channel Estimation

Optimal CSD and Truncated SVD for Channel Estimation. Authors:. Date: 2008-09-08. Abstract.

391 views • 18 slides

Computing the Fundamental matrix

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Contingency tables and Correspondence analysis

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Singular Value Decomposition in Digital Signal Processing

Singular Value Decomposition in Digital Signal Processing. By Tin Sheen. Signals. Flow of information Measured quantity that varies with time (or position) Electrical signal received from a transducer (microphone, thermometer, accelerometer, antenna, etc.)

983 views • 13 slides

Dimension of Meaning

412 views • 10 slides