Gaussian process

Results: 295



#Item
121

Supplementary Material: Transfer Learning Based Visual Tracking with Gaussian Process Regression Jin Gao1,2 , Haibin Ling2 , Weiming Hu1 , and Junliang Xing1 1 2

Add to Reading List

Source URL: www.dabi.temple.edu

Language: English - Date: 2014-08-31 15:51:20
    122Linear filters / Markov models / Bayesian statistics / Kalman filter / Expectation–maximization algorithm / Hidden Markov model / Gaussian process / Gaussian function / Normal distribution / Statistics / Estimation theory / Robot control

    Probabilistic Modeling of Human Movements for Intention Inference Zhikun Wang1,2 , Marc Peter Deisenroth2 , Heni Ben Amor2 , David Vogt3 , Bernhard Schölkopf1 , Jan Peters1,2 1 MPI for Intelligent Systems, Spemannstr. 3

    Add to Reading List

    Source URL: www.is.tuebingen.mpg.de

    Language: English - Date: 2012-06-11 09:24:01
    123Randomness / Random matrix / Random graph / Asymptotic analysis / Point process / Bangalore / Gaussian random field / Statistics / Stochastic processes / Markov chain

    NATIONAL MATHEMATICS INITIATIVE (NMI) 9th Thematic Programme (August 2012 – PROBABILITY: THEORY AND APPLICATIONS

    Add to Reading List

    Source URL: math.iisc.ernet.in

    Language: English - Date: 2013-01-07 23:14:00
    124GRASP / Normal distribution / Statistics

    GP-GPIS-OPT: Grasp Planning With Shape Uncertainty Using Gaussian Process Implicit Surfaces and Sequential Convex Programming Jeffrey Mahler1 , Sachin Patil1 , Ben Kehoe2 , Jur van den Berg3 , Matei Ciocarlie4 , Pieter A

    Add to Reading List

    Source URL: www.ieor.berkeley.edu

    Language: English - Date: 2015-03-10 20:48:52
    125Rope / Poisson process / Wire rope / Convolution / Statistics / Stochastic processes / Gaussian process

    PDF Document

    Add to Reading List

    Source URL: www.complex-systems.com

    Language: English - Date: 2012-06-20 13:21:02
    126Mathematics / Jacobi method / Gauss–Seidel method / Normal distribution / Gibbs sampling / Covariance matrix / Matrix / Gaussian function / Gaussian process / Statistics / Numerical analysis / Numerical linear algebra

    Analyzing Hogwild Parallel Gaussian Gibbs Sampling Matthew J. Johnson EECS, MIT

    Add to Reading List

    Source URL: www.mit.edu

    Language: English - Date: 2013-12-25 14:25:37
    127Robot control / Estimation theory / Markov models / Linear filters / Monte Carlo methods / Particle filter / Kalman filter / Mixture model / Mathematical model / Statistics / Software / Mathematics

    Bayesian Filtering with Online Gaussian Process Latent Variable Models Yali Wang Laval University

    Add to Reading List

    Source URL: www.cs.toronto.edu

    Language: English - Date: 2014-07-17 17:28:27
    128Spectral density / Ornstein–Uhlenbeck process / Markov process / Stochastic differential equation / White noise / Ordinal number / Statistics / Stochastic processes / Gaussian process

    Time-Markovian Representation of Spatio-Temporal Gaussian Processes (with Applications) Simo S¨arkk¨a Department of Biomedical Engineering and Computational Science (BECS) Aalto University, Espoo, Finland

    Add to Reading List

    Source URL: inverse-problems.org

    Language: English - Date: 2013-09-02 06:15:32
    129Control theory / Motion planning / Trajectory optimization / Partially observable Markov decision process / Kalman filter / Collision detection / Optimal control / Normal distribution / Robot / Mathematical optimization / Statistics / Applied mathematics

    Gaussian Belief Space Planning for Imprecise Articulated Robots Alex Lee Sachin Patil John Schulman Zoe McCarthy Jur van den Berg Ken Goldberg Pieter Abbeel Abstract— For many emerging applications, actuators are being

    Add to Reading List

    Source URL: www.ieor.berkeley.edu

    Language: English - Date: 2013-04-30 13:17:31
    130Data analysis / Machine learning / Robot control / Linear regression / Kinematics / Errors and residuals in statistics / Regularization / Robotics / Robot / Statistics / Regression analysis / Econometrics

    Learning Accurate Kinematic Control of Cable-Driven Surgical Robots Using Data Cleaning and Gaussian Process Regression Jeffrey Mahler1 , Sanjay Krishnan1 , Michael Laskey1 , Siddarth Sen1 , Adithyavairavan Murali1 , Ben

    Add to Reading List

    Source URL: www.ieor.berkeley.edu

    Language: English - Date: 2014-04-26 02:12:36
    UPDATE