Supplementary material This is the supplementary material for ‘Computationally Efficient Bayesian Learning of Gaussian Process State Space Models’ by Svensson, Solin, S¨arkk¨a and Sch¨on, presented at AISTATS 2016

Source URL: jmlr.org

Image Perforation: Automatically Accelerating Image Pipelines by Intelligently Skipping Samples LIMING LOU1,2 , PAUL NGUYEN2 , JASON LAWRENCE2,3 , CONNELLY BARNES2 Shandong University, 2 University of Virginia 1

Source URL: www.connellybarnes.com

• Digital signal processing
• Computing
• Signal processing
• Computer programming
• Digital photography
• Image sensors
• Image processing
• NyquistShannon sampling theorem
• Gaussian blur
• Demosaicing
• Lookup table
• Aliasing

LNCSRobust ICA for Super-Gaussian Sources

Source URL: people.tuebingen.mpg.de

Gaussian Belief Space Planning with Discontinuities in Sensing Domains Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel Abstract— Discontinuities in sensing domains are common when planning for many r

Source URL: goldberg.berkeley.edu

• Robot control
• Control theory
• Kalman filter
• Motion planning
• Partially observable Markov decision process
• Robotics
• Distribution
• Trajectory optimization

Collapsed Gibbs Sampler for Dirichlet Process Gaussian Mixture Models (DPGMM) Rajarshi Das Language Technologies Institute School of Computer Science Carnegie Mellon University

Source URL: rajarshd.github.io

1 Gaussian Process Based Predictive Control for Periodic Error Correction Edgar D. Klenske, Melanie N. Zeilinger, Bernhard Sch¨olkopf, and Philipp Hennig

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

1 Gaussian Process Based Predictive Control for Periodic Error Correction Edgar D. Klenske, Melanie N. Zeilinger, Bernhard Sch¨olkopf, and Philipp Hennig

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

University of California, Irvine Statistics Seminar On Nearest-Neighbor Gaussian Process Models for HighDimensional Geostatistical Datasets Sudipto Banerjee Professor, Division of Biostatistics

Source URL: www.stat.uci.edu

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

Source URL: goldberg.berkeley.edu

• Statistics
• Probability
• Statistical theory
• Child development
• Grasp
• Normal distribution
• Gaussian process

CONFIDENTIAL. Limited circulation. For review only. Tumor Localization using Automated Palpation with Gaussian Process Adaptive Sampling Animesh Garg1,2 , Siddarth Sen2 , Rishi Kapadia2 , Yiming Jen2 , Stephen McKinley3

Source URL: goldberg.berkeley.edu

• Medical imaging
• Signal processing
• Palpation
• Physical examination
• Elastography
• Image segmentation
• Normal distribution
• Gaussian process
• Estimation theory
• Magnetic resonance elastography
• Haptic technology
• Variance