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Feature model
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#	Item
371	A Reuse-Oriented Development Process for Component-based Robotic Systems D. Brugali1 L. Gherardi1 Add to Reading List Source URL: www.best-of-robotics.org Language: English - Date: 2012-10-22 04:53:54 Software architecture Software design Component-based software engineering Feature model Robotics Software development process Robot ROS Code reuse Software Software development Software engineering
372	An eclipse-based Feature Models toolchain Luca Gherardi, Davide Brugali Dept. of Information Technology and Mathematics Methods, University of Bergamo [removed], [removed] Add to Reading List Source URL: www.best-of-robotics.org Language: English - Date: 2011-10-14 12:34:08 Project management Feature model Data modeling ISO standards ECO EXPRESS Eclipse Class Unified Modeling Language Software Computing Software development
373	An Evaluation of the RGB-D SLAM System Felix Endres1 Jürgen Sturm2 Jürgen Hess1 Daniel Cremers2 Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 05:40:24 Robot control Optics Pose Simultaneous localization and mapping Matching RGB color model Posit Scale-invariant feature transform Computer vision Artificial intelligence Vision
374	Variability Modeling and Resolution in Component-based Robotics Systems Luca Gherardi Thesis Submitted to the Universit`a degli Studi di Bergamo Add to Reading List Source URL: www.best-of-robotics.org Language: English - Date: 2013-04-24 10:35:55 Systems engineering Software architecture Methodology Software development process Component-based software engineering Code refactoring Robotics Feature model Model-driven engineering Software engineering Software development Software
375	ARTICLE Communicated by Kechen Zhang Efficient Learning and Feature Selection in High-Dimensional Regression Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2010-02-06 00:59:42 Linear regression Partial least squares regression Backfitting algorithm Principal component analysis Supervised learning Least squares Nonlinear regression Ordinary least squares Outline of regression analysis Statistics Regression analysis Additive model
376	P1: JSN International Journal of Computer Vision KL551-02-Baker February 18, 1998 Add to Reading List Source URL: www1.cs.columbia.edu Language: English - Date: 2005-07-10 19:12:17 Mathematics Edge detection Hough transform Parametric model Parameter Feature detection Object recognition Eigenvalues and eigenvectors Manifold Computer vision Image processing Algebra
377	Austria-Japan ICT-Workshop, Tokyo, October 18-19, 2010 Parallel Data Retrieval in Large Data Sets by Algebraic Methods Mari´ Add to Reading List Source URL: www.jst.go.jp Language: English - Date: 2010-11-01 01:10:34 Information retrieval Linear algebra Matrix theory Natural language processing Vector space model Non-negative matrix factorization Cosine similarity Feature vector Singular value decomposition Algebra Information science Mathematics
378	Microsoft Word[removed]doc Add to Reading List Source URL: www.dynamics.unam.edu Language: English - Date: 2007-02-02 17:30:00 Naive Bayes classifier Statistical classification Bayesian inference Graphical model Feature selection Random naive Bayes Supervised learning Statistics Bayesian statistics Bayesian network
379	Package ‘penalizedSVM’ July 2, 2014 Type Package Title Feature Selection SVM using penalty functions Version 1.1 Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:00:19 Support vector machine Model selection Stability Regression analysis Training set Feature selection Statistics Statistical classification Machine learning
380	2013 Regular Feature Payout Below is the payout schedule for regular feature races. Pay may be adjusted based on car counts and race length but this will be the base pay for full features. Late Model Add to Reading List Source URL: 198.154.249.9 Language: English - Date: 2013-06-25 10:49:16 X Games Conversion of units of temperature

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