'Singular vector' diaporamas de présentation

LSA, pLSA, and LDA Acronyms, oh my!

LSA, pLSA, and LDA Acronyms, oh my!. Slides by me, Thomas Huffman, Tom Landauer and Peter Foltz, Melanie Martin, Hsuan-Sheng Chiu, Haiyan Qiao , Jonathan Huang. Outline. Latent Semantic Analysis/Indexing (LSA/LSI) Probabilistic LSA/LSI (pLSA or pLSI) Why? Construction Aspect Model

1.43k views • 118 slides

Geometric Tools for Identifying Structure in Large Social and Information Networks

1.24k views • 115 slides

Geometric Tools for Identifying Structure in Large Social and Information Networks

993 views • 91 slides

Geometric Tools for Identifying Structure in Large Social and Information Networks

915 views • 91 slides

Link Analysis and Anti-Spam

Link Analysis and Anti-Spam Tie-Yan Liu Microsoft Research Asia Outline First Session Overview of Link Analysis Technologies PageRank and HITS Second Session More about Link Analysis Algorithms Third Session Spam and Anti-Spam Homework First Session

1k views • 59 slides

Structure from Motion

Structure from Motion. ECE 847: Digital Image Processing. Stan Birchfield Clemson University. SVD. Any mxn matrix A can be decomposed as where This is the singular value decomposition (SVD). mxm. mxn. nxn. =. Tall and short matrices. Tall matrix. m>n, p = n. mxm. mxn. nxn.

551 views • 55 slides

Randomized algorithms for matrices and data

Randomized algorithms for matrices and data. Michael W. Mahoney Stanford University November 2011 (For more info, see: http://cs.stanford.edu/people/mmahoney). Matrix computations. Eigendecompositions, QR, SVD, least-squares, etc. Traditional algorithms:

528 views • 50 slides

Application of Singular Value Decomposition to High Spectral Resolution Measurements

Application of Singular Value Decomposition to High Spectral Resolution Measurements. Clive D Rodgers Atmospheric Oceanic and Planetary Physics University of Oxford. ASSFTS, Quebec 2005. What is this about?. A spectrum has several thousand elements

489 views • 33 slides

Application of Singular Value Decomposition to High Spectral Resolution Measurements

Application of Singular Value Decomposition to High Spectral Resolution Measurements. Clive D Rodgers Atmospheric Oceanic and Planetary Physics University of Oxford. ASSFTS, Quebec 2005. What is this about?. A spectrum has several thousand elements

429 views • 33 slides

Camera parameters

Camera parameters. Extrinisic parameters define location and orientation of camera reference frame with respect to world frame Intrinsic parameters define pixel coordinates of image point with respect to coordinates in camera reference frame. Homogenous coordinates.

432 views • 31 slides

Cloud Detection

Cloud Detection. 1) Optimised CI Microwindows cnc 2) Singular Vector Decomposition 3) Comparison of Methods fffffffffff. 1) CI Microwindow Optimisation. Currently: MW1 = [788.2, 796.25] cm -1 MW2 = [832.3, 834.4] cm -1 CI = L MW1 / L MW2 If CI < threshold ? cloud

255 views • 24 slides

A possible modal view for understanding extratropical climate variability

UAW2008, 07/02/08. A possible modal view for understanding extratropical climate variability. Masahiro Watanabe Center for Climate System Research University of Tokyo hiro@ccsr.u-tokyo.ac.jp. baroclinic wave lifecycle. Normal mode (eigenmode) or non-normal growth

316 views • 20 slides

Jason C. Furtado Advisor: E. Di Lorenzo School of Earth & Atmospheric Sciences

What Uncertainties Exist in Tropical SST Reconstructions Derived From Tropical Precipitation Records?. Jason C. Furtado Advisor: E. Di Lorenzo School of Earth & Atmospheric Sciences Georgia Institute of Technology EAS Graduate Student Symposium 2 November 2007. Previous Work.

251 views • 18 slides

Microarray analysis

371 views • 18 slides

(Wu et al. 2005a, b)

261 views • 17 slides