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Kalman filter
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#	Item
141	SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering Jianping Shi† Naiyan Wang‡ Yang Xia† Dit-Yan Yeung‡ Irwin King† Jiaya Jia† Department of Computer Science and Engineering, The Chinese Add to Reading List Source URL: shijianping.me Language: English - Date: 2013-04-24 04:04:56 Algebra Statistics Mathematics Linear algebra Matrix theory Covariance and correlation Probability distributions Stable distributions Covariance Kalman filter Non-negative matrix factorization Normal distribution
142	Visual-Inertial SLAM for a Small Helicopter in Large Outdoor Environments Markus W. Achtelik, Simon Lynen, Stephan Weiss, Laurent Kneip, Margarita Chli, Roland Siegwart Abstract— In this video, we present our latest re Add to Reading List Source URL: www.margaritachli.com Language: English - Date: 2012-07-17 06:00:15 Artificial intelligence Robot control Emerging technologies Technology Robotic sensing Micro air vehicle Simultaneous localization and mapping Engineering Kalman filter Inertial measurement unit Robotics Sensor fusion
143	IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, 2007 (to appear) Physics-Based Person Tracking Using Simplified Lower-Body Dynamics Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann Department Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-05-02 16:27:04 Physics Mechanics Classical mechanics Mechanical engineering Rigid bodies Rotational symmetry Robot kinematics Multibody system Equations of motion Humanoid robot Kalman filter Kinematics
144	Safety Envelope for Security∗ Ashish Tiwari Bruno Dutertre SRI International Pat Lincoln Add to Reading List Source URL: www.csl.sri.com Language: English - Date: 2014-02-10 15:35:49 Algebra Mathematics Linear algebra Matrix theory Invariant Kalman filter Eigenvalues and eigenvectors Principal component analysis Differential geometry of surfaces Control theory Trace Inertial measurement unit
145	An eﬃcient algorithm for real-time estimation and prediction of dynamic OD tables M. Bierlaire and F. Crittin February, 2002 Abstract The problem of estimating and predicting Origin-Destination (OD) tables is known to Add to Reading List Source URL: www.strc.ch Language: English - Date: 2009-01-19 10:06:45 Statistics Probability Linear filters Mathematical analysis Control theory Robot control Estimation theory Markov models Kalman filter Regression analysis Least squares Matrix
146	LNCSActive Matching Add to Reading List Source URL: www.margaritachli.com Language: English - Date: 2011-06-29 13:31:43 Statistics Probability Mathematical analysis Statistical models Linear filters Cluster analysis Machine learning Mixture model Kalman filter Normal distribution Difference of Gaussians
147	A Robust and Modular Multi-Sensor Fusion Approach Applied to MAV Navigation Simon Lynen1 , Markus W. Achtelik1 , Stephan Weiss2 , Margarita Chli1 and Roland Siegwart1 I. I NTRODUCTION Precise and consistent localization Add to Reading List Source URL: www.margaritachli.com Language: English - Date: 2013-09-12 11:02:16 Technology Engineering Robotics Robot control Sensors Aircraft instruments Avionics Linear filters Kalman filter Sensor fusion Inertial measurement unit Simultaneous localization and mapping
148	Learning to Annotate Tweets with Crowd Wisdom Wei Feng Jianyong Wang Tsinghua University Add to Reading List Source URL: www2013.wwwconference.org Language: English - Date: 2014-07-21 08:47:00 Collective intelligence Computer jargon Knowledge representation Reference Web 2.0 Hashtag Twitter Social media Reblogging Tag Kalman filter Recommender system
149	Chair of Software Engineering Robotics Programming Laboratory Bertrand Meyer Jiwon Shin Add to Reading List Source URL: se.inf.ethz.ch Language: English - Date: 2013-10-30 10:24:35 Statistics Robot control Probability Mathematical analysis Estimation theory Linear filters Computational statistics Kalman filter Conditional probability Joint probability distribution Particle filter
150	Quantitative Depth Recovery from Time-Varying Optical Flow in a Kalman Filter Framework John Barron1 , Wang Kay Jacky Ngai1, and Hagen Spies2 1 Add to Reading List Source URL: www.csd.uwo.ca Language: English - Date: 2010-08-15 20:35:15

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