iciap2015.eu
ICIAP 2015 - Invited
http://www.iciap2015.eu/invited.html
List of accepted papers. Google Inc., USA. The Battle Against the Long Tail in Computer Vision". Download the slides of the talk. University of Texas at Austin, USA. Action and Attention in First-person Vision". Download the slides of the talk. Weizmann Institute of Science, Israel. In particular, I will show how the deviations from ideal patch recurrence can be used for:. Recovering the unknown camera blur (giving rise to "Blind Deblurring"). Max Planck Institute for Informatics, Germany. ICIAP 2015 Con...
jmlr.org
JMLR Editorial Board
http://www.jmlr.org/editorial-board.html
MPI for Intelligent Systems. Illinois Institute of Technology, USA. University of Edinburgh, UK. Massachusetts Institute of Technology. MPI for Intelligent Systems. Massachusetts Institute of Technology. Massachusetts Institute of Technology. Edoardo M. Airoldi. Harvard University, USA. Statistics, Approximate inference, Causal inference, Network data analysis, Computational biology. Montanuniversitaet Leoben, Austria. Bandit problems, reinforcement learning, online learning. University College London, UK.
2012.baylearn.org
BayLearn: Bay Area Machine Learning Symposium 2012
http://2012.baylearn.org/home
The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. It promotes community building between local researchers from academic and industrial institutions but also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! July 30th, 2012 - Abstract submission deadline. August 14th, 2012 - Author notification.
2014.baylearn.org
Bay Area Machine Learning Symposium 2014
http://2014.baylearn.org/overview
The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! Thanks all - it was a great one! Abstract submission deadline: September 14, 2014.
sites.google.com
BigVision 2012
https://sites.google.com/site/bigvision2012
Big Data Meets Computer Vision:. First International Workshop on Large Scale Visual Recognition and Retrieval. December 7, 2012, Lake Tahoe, Nevada, USA. Slides of the invited speakers are up. The location of the workshop is Harrahs Sand Harbor 1. 10/17/2012: Paper decisions have been sent out to the primary authors. 9/17/2012: The submission deadline is extended to 11:59pm PDT, 9/17/2012. We have added FAQ. 7:35-7:55: invited talk: Charles R. Fay, Strategic Highway Research Program 2 (SHRP2) [ slides.
phillong.info
STOC'13 Workshop on New (Theoretical) Challenges in Machine Learning
http://www.phillong.info/stoc13/index.html
STOC'13 Workshop on New (Theoretical) Challenges in Machine Learning. June 1, 2013. Sheraton Palo Alto Hotel. 625 El Camino Real. Palo Alto, CA. Each talk with be 30 minutes, followed by 15 minutes for discussion.). Laconic: Label Consistency for Image Categorization. New developments in deep learning. Parametrizing the Easiness of Machine Learning Problems.
baylearn.org
BayLearn: Bay Area Machine Learning Symposium
http://www.baylearn.org/overview
Call For Abstracts 2015. The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas. Only abstracts will be shared through an online repository. Our primary goal is to foster discussion! Abstract submission deadline: August 23rd, 2016.
jmlr.csail.mit.edu
JMLR Editorial Board
http://jmlr.csail.mit.edu/editorial-board.html
MPI for Intelligent Systems. Illinois Institute of Technology, USA. University of Edinburgh, UK. Massachusetts Institute of Technology. MPI for Intelligent Systems. Massachusetts Institute of Technology. Massachusetts Institute of Technology. Edoardo M. Airoldi. Harvard University, USA. Statistics, Approximate inference, Causal inference, Network data analysis, Computational biology. Montanuniversitaet Leoben, Austria. Bandit problems, reinforcement learning, online learning. University College London, UK.
