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Data Matrix
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#	Item
41	Computing Fundamentals Derived types Salvatore Filippone–2014 Add to Reading List Source URL: people.uniroma2.it Language: English - Date: 2015-03-11 08:41:43 Algebra Mathematics Vectors Linear algebra Abstract algebra Vector calculus Analytic geometry Euclidean vector Vector space Matrix Vector Array data structure
42	Classiﬁcation, Regression, and Feature Selection on Matrix Data Sepp Hochreiter and Klaus Obermayer Department of Electrical Engineering and Computer Science Technische Universit¨at BerlinBerlin, Germany Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-04-30 01:33:38 Algebra Mathematics Linear algebra Abstract algebra Matrices Statistical classification Machine learning Support vector machine Matrix Test set Kernel method Kernel
43	Generalizing Language Comparison Michael Cysouw Max Planck Institute for Evolutionary Anthropology, Leipzig The method proposed in the target article by Croft & Poole (henceforth C&P) is an Add to Reading List Source URL: cysouw.de Language: English - Date: 2014-01-15 15:16:41 Historical linguistics Language comparison Linguistics Statistical distance Cognition Academia Comparative Grammar Matrix Language Similarity Array data type
44	Joint Similarity Learning for Predicting Links in Networks with Multiple-type Links Majid Yazdani Andrei Popescu-Belis Add to Reading List Source URL: majid.yazdani.me Language: English - Date: 2015-08-19 06:57:43 Multivariate statistics Statistics Data analysis Mathematics Statistical distance Cybernetics Learning Machine learning Non-negative matrix factorization Cosine similarity Similarity measure Similarity
45	EXAMPLES OF AUTOMATED CARTOGRAPHY IN PRESENTING LAND USE AND LAND COVER MAPS AND DATA James R. Wray, Geographer Land Information and Analysis Office U.S. Geological Survey Mail Stop 710 Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-29 23:36:44 Cartography Geography Physical geography United States Geological Survey Map Surveying Matrix Thematic map Topographic map
46	1 Factorization-based Sparse Solvers and Preconditioners (4th Gene Golub SIAM Summer School, 2013) Add to Reading List Source URL: crd-legacy.lbl.gov Language: English - Date: 2015-07-29 21:36:24 Numerical linear algebra Algebra Linear algebra Numerical analysis Parallel computing Matrix Sparse matrix LU decomposition Basic Linear Algebra Subprograms Data parallelism Cholesky decomposition General-purpose computing on graphics processing units
47	Lecture 4: Modeling Sparse Matrix-Vector Multiply William Gropp www.cs.illinois.edu/~wgropp Sustained Memory Bandwidth Add to Reading List Source URL: wgropp.cs.illinois.edu Language: English - Date: 2015-01-15 10:20:20 Computing Software engineering Central processing unit Computer programming Computer memory Cache Programming languages CPU cache Sparse matrix Processor register Fortran Data
48	PDF Document Add to Reading List Source URL: www.spirig-systems.ch Language: English - Date: 2016-08-04 08:14:10 Barcodes Identification Input/output Computer hardware Barcode QR code PDF417 Data Matrix USB International Article Number Code 128 Universal Product Code
49	The dynamic mode decomposition (DMD) is a data-driven matrix decomposition for spatio-temporal data grids. Originally introduced in the fluid mechanics community, DMD has been applied to several new domains, including ne Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
50	Visual Comparison of Time-Varying Athletes’ Performance Fabian Beck, Member, IEEE, Michael Burch, and Daniel Weiskopf, Member, IEEE Fig. 1. Matrix-based visualization technique for comparing the time-varying performanc Add to Reading List Source URL: workshop.sportvis.com Language: English - Date: 2015-11-09 23:45:53 Computational science Data modeling Infographics Visualization Scatter plot Matrix Computing Communication design Information Data visualization

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