Sciweavers

    502 search results - page 35 / 101
    » Principal Component Analysis for Sparse High-Dimensional Dat...
    Sort
    View
    SDM
    2009
    SIAM
    130views Data Mining» more  SDM 2009»
    FuncICA for Time Series Pattern Discovery.
    14 years 6 months ago
    FuncICA for Time Series Pattern Discovery.
    Download  www.fast-lab.org
    We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
    Alexander Gray, Nishant Mehta
    claim paper
    Read More »
    NIPS
    2000
    141views Information Technology» more  NIPS 2000»
    Automatic Choice of Dimensionality for PCA
    13 years 10 months ago
    Automatic Choice of Dimensionality for PCA
    Download  vismod.media.mit.edu
    A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...
    Thomas P. Minka
    claim paper
    Read More »
    SDM
    2007
    SIAM
    143views Data Mining» more  SDM 2007»
    Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    13 years 10 months ago
    Less is More: Compact Matrix Decomposition for Large Sparse Graphs
    Download  www.cs.cmu.edu
    Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
    Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
    claim paper
    Read More »
    ORL
    2011
    270views Operations Research» more  ORL 2011»
    Convex approximations to sparse PCA via Lagrangian duality
    13 years 3 months ago
    Convex approximations to sparse PCA via Lagrangian duality
    Download  www.tau.ac.il
    We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
    Ronny Luss, Marc Teboulle
    claim paper
    Read More »
    ICMCS
    2005
    IEEE
    138views Multimedia» more  ICMCS 2005»
    Overcomplete ICA-based Manmade Scene Classification
    14 years 2 months ago
    Overcomplete ICA-based Manmade Scene Classification
    Download  www.cecs.uci.edu
    Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
    Matthew Boutell, Jiebo Luo
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.