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AboutDr. Carl Henrik Ek, Senior Lecturer in Machine Learning at the University of Bristol
http://www.carlhenrik.com/
Dr. Carl Henrik Ek, Senior Lecturer in Machine Learning at the University of Bristol
http://www.carlhenrik.com/
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Carl Henrik Ek
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About | carlhenrik.com Reviews
https://carlhenrik.com
Dr. Carl Henrik Ek, Senior Lecturer in Machine Learning at the University of Bristol
carlhenrik.com
Personal | Carl Henrik Ek
http://carlhenrik.com/page5
Lecturer in Computer Science. Computers, predominantly Amigas. A computer soon to turn 30 and one of the most revolutionary products both in terms of hardware and software. I also like computer graphics and as a member of the demo group Tulou. I work with my fellow group members creating demos. Below you will find a list of some reasonably recent productions from us. The Chronicles of Prince Dakkar and his Pilgrimage to the Abyss. Amiga AGA 060 [ LHA. The Chronicles of Professor Arronax.
Publications | Carl Henrik Ek
http://carlhenrik.com/page1
Lecturer in Computer Science. Below is a list of my academic publications, if you click the titles of the papers you will reveal more details of the publication. You can find my Google Scholar profile by following this link. Task-based Robot Grasp Planning using Probabilistic Inference. D Song, C. H. Ek, K. Huebner, and D. Kragic. IEEE Transaction on Robotics, 2015. Task-based Robot Grasp Planning using Probabilistic Inference. D Song, C. H. Ek, K. Huebner, and D. Kragic. Autonomous Robots October 2014.
Talks | Carl Henrik Ek
http://carlhenrik.com/page3
Lecturer in Computer Science. University of Manchester, Invited Talk,. Inter-Battery Factor Analysis and Factorised Latent Variable Models, September 2014. Gaussian Process Summer School, University of Sheffield, Lecture,. Feature Selection using GP-LVM’s. International Conference on Machine Vision and Machine Learning, Keynote,. Factorised Latent Variable Models, August 2014. University of Linköping, Invited Talk,. Factorised Latent Variable Models and Variational Inference,. Eurocon 2011, Invited Talk.
Research | Carl Henrik Ek
http://carlhenrik.com/page0
Lecturer in Computer Science. My research is focused towards building probabilistic models of data to provides means for us to reason intelligently and make decisions based on observations, more popularly known as Machine Learning. Intelligence can roughly be seen as the capability to reason under uncertainty, if we are completely certain about the state of the world then, as Laplace stated, the world is “. An open book”. Rdquo; (The orie analytique des probabilite s. 1814). Shared Latent Space Models.
Teaching | Carl Henrik Ek
http://carlhenrik.com/page4
Lecturer in Computer Science. Advanced Machine Learning (KTH). The material in this course is mathematical, the concepts are not advanced, only basic linear algebra and calculus. The course is focused on understanding which means that to get something out from the material will require a certain. Low Level Programming and Computer Architecture (KTH). Computers to do the labs and program the hardware directly by learning ARM assembler. We also do a lab in C where we. KTH, MSc, 2010) with Danica Kragic.
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BMVC 2012 | British Machine Vision Conference 2012
http://bmvc2012.surrey.ac.uk/workshop.php
Photos from BMVC can be found in the BMVC 2012 flickr group. Thanks to all who attended BMVC this year. Online proceedings and videolectures to follow soon. BMVC student bursary scheme. List of accepted papers. Confirmed as invited speaker at the workshop. Call for demos and videos announced. This year BMVC received 414 valid paper submissions. 4th UK Computer Vision Student Workshop (BMVW). This workshop has become a regular feature of BMVC (see some of the previous editions: 2011. From 9am to 4pm.
DeepDriving: Learning Representations for Intelligent Vehicles
http://iv2016.berkeleyvision.org/index.html
Workshop at the IEEE Symposium on Intelligent Vehicles 2016. 19th of June, 2016. Call for Abstracts and Participation. The tutorial will focus on the software library caffe. One of the most popular convolutional neural network toolboxes for vision tasks. We invite the submissions of extended abstracts for poster contributions to the workshop. Topics of interest are:. Deep learning for reinforcement learning. Detection and segmentation networks. Uncertainty propagation in deep neural networks. We will not...
KTH
http://www.jarnoralli.com/about-me/affiliations/kth
Created: 09 May 2012. Last Updated: 17 July 2014. KTH ( Kunglika Tekniska Högskolan. Or Royal Institute of Technology in english is, as the name implies, a technical university located in Stockholm, Sweden. Welcome to the CVAP. The Computer Vision and Active Perception Lab at KTH in Stockholm, Sweden. Our research focuses on the topics of computer vision and robotics. Prof (head of department) Danica Kragic. Prof (emeritius) Jan-Olof Eklundh. Associate prof. Mårten Björkman.
inverseprobability.wordpress.com
GPy: Moving from MATLAB to Python | Inverse Probability
https://inverseprobability.wordpress.com/2013/11/25/gpy-moving-from-matlab-to-python
On Can you select for ‘robu…. Inti Pedroso (@intip…. On Can you select for ‘robu…. Λ on Can you select for ‘robu…. On DALI Meeting Views on Machin…. On DALI Meeting Views on Machin…. Neil Lawrence's thoughts on machine learning, academia and research. GPy: Moving from MATLAB to Python. Back in 2002 or 2003, when this paper. And a set of likelihoods. This led to a reissuing of the IVM. And collaborators to pull together a style based inverse kinematics approach at SIGGRAPH which has proved very influential.
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About
Dr Carl Henrik Ek. My name is Carl Henrik Ek. And I am a Senior Lecturer in Computer Science at the University of Bristol, UK and a Docent in Machine Learning at the Royal Institute of Technology, Sweden. Tutorial on Bayesian modelling. At Siemens, Munich. Lecture and Panel debate on AI, Media and our obsession with Data. Gave a tutorial title Bayesian Non-parametrics and Priors over Functions. At Vicarious, Bay Area. Gave a tutorial titled Bayesian Non-parametrics and Priors over Functions. New paper ti...
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Träffat så gamla fina vänner det senaste, underbart att få ta igen förlorad tid. On September 16, 2015. Cover-up rose (på/i Spooky Fish Tattoo). On April 08, 2015. Lite snabba anatomiskisser. Kommer jobba mer för att bli vassare på det här. On November 14, 2014. 10084; @nilsnystrom (på/i hos nils). On July 23, 2013. On May 06, 2013. WHY ARE YOU THE MOST BEAUTIFUL BOY EVER TO BE ALIVE EVER. On September 24, 2012. Just saying- if i ever go to sweden I want a tattoo from you :D. Thanks, i hope you do! Thank...
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