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Kálmán
Results: 1711

#	Item
741	Ocean Dynamics[removed]: 561–569 DOI[removed]s10236[removed]Jeﬀrey D. Kepert On ensemble representation of the observation-error covariance Add to Reading List Source URL: cawcr.gov.au Language: English - Date: 2009-12-02 21:50:20 Matrix theory Estimation theory Linear filters Control theory Ensemble Kalman filter Kalman filter Data assimilation Multivariate normal distribution Covariance Algebra Mathematics Linear algebra
742	Introduction to Estimation and Data fusion Hugh Durrant-Whyte Australian Centre for Field Robotics The University of Sydney [removed] Add to Reading List Source URL: www.acfr.usyd.edu.au Language: English - Date: 2007-05-27 23:09:30 Control theory Electronic engineering Linear filters Signal processing Kalman filter Data fusion Particle filter Sensor fusion Statistics Robot control Estimation theory
743	Measurement Sample Time Optimization for Human Motion Tracking/Capture Systems Greg Welch∗ The University of North Carolina at Chapel Hill B. Danette Allen† Add to Reading List Source URL: www.cs.unc.edu Language: English - Date: 2007-03-03 15:34:12 Measurement Signal processing Kalman filter Robot control ΔT Analog-to-digital converter Estimation theory Uncertainty Alpha beta filter Statistics Electronic engineering Science
744	Inertial-Optical Motion-Estimating Camera for Electronic Cinematography by Christopher James Verplaetse B.S., Aerospace Engineering Add to Reading List Source URL: cba.mit.edu Language: English - Date: 2011-12-13 18:32:08 Accelerometers Avionics Inertial navigation system Inertial measurement unit Gyroscope Motion capture Kalman filter Inertial frame of reference Technology Aircraft instruments Physics
745	1 Kalman is southeast of Mount Isa, and south of Cloncurry in the Cloncurry IOCG region. Mineral occurrence data shows a predominance of copper. Distribution is largely in outcrop areas and reflects the generally N-S o Add to Reading List Source URL: www.auscope.org.au Language: English - Date: 2013-06-16 21:15:15 Vein Quartz Economic geology Geology Iron oxide copper gold ore deposits
746	Online Self-Supervised Segmentation of Dynamic Objects Vitor Guizilini and Fabio Ramos Australian Centre for Field Robotics, School of Information Technologies University of Sydney, Australia {v.guizilini;f.ramos}@acfr.u Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:35 Segmentation Scale-invariant feature transform Kalman filter RANSAC Matrix Supervised learning Optical flow Determining the number of clusters in a data set Statistics Machine learning Image processing
747	Multi-Modal Estimation with Kernel Embeddings for Learning Motion Models Lachlan McCalman1 , Simon O’Callaghan2 and Fabio Ramos3 Abstract— We present a novel estimation algorithm for filtering and regression with a n Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:35 Robot control Linear filters Markov models Particle filter Kalman filter Hidden Markov model Mixture model Gaussian function Bayesian inference Statistics Bayesian statistics Estimation theory
748	Introduction to Sensor Data Fusion http://www.acfr.usyd.edu.au/teaching/graduate/Fusion/index.html Hugh Durrant-Whyte Australian Centre for Field Robotics The University of Sydney [removed] Add to Reading List Source URL: www.acfr.usyd.edu.au Language: English - Date: 2007-05-27 22:35:37 Robotic sensing Sensor fusion Sensors Mathematics Data fusion Information integration Probabilistic method Kalman filter Whyte Statistics Data Computer data
749	Ensemble Assimilation of Ocean Data into the GEOS-5 Coupled GCM Christian Keppenne1,2,, Guillaume Vernieres1,2, Michele Rienecker1, Robin Kovach1,2, Jossy Jacob1,2 and Atanas Trayanov1,2 1NASA Add to Reading List Source URL: gmao.gsfc.nasa.gov Language: English* - Date: 2011-11-28 13:59:09 Science Linear filters Control theory Robot control Bayesian statistics Kalman filter Data assimilation ESMF Global climate model Statistics Atmospheric sciences Estimation theory
750	SCAAT: Incremental Tracking with Incomplete Information Greg Welch and Gary Bishop University of North Carolina at Chapel Hill† Abstract 1 INTRODUCTION Add to Reading List Source URL: www.cs.unc.edu Language: English - Date: 2001-05-03 09:50:07 Robot control Linear filters Kalman filter ΔT Least squares Alpha beta filter Radar tracker Control theory Systems theory Cybernetics

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