web.mit.edu
Antonio Torralba
http://web.mit.edu/torralba/www
Computer Science and Artificial Intelligence Laboratory. Dept of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Address: 32 Vassar Street, Cambridge, MA 02139. My research is in the areas of computer vision, machine learning and human visual perception. I am interested in scene and object recognition, among other things. A scene parsing challenge is being held jointly with ILSVRC'16. Aligning books and movies. Places2 scene classification challenge. For more details o...
pinknantucket.com
AN UNCANNY VALLEY, IN REVERSE — PINKNANTUCKET PRESS
https://pinknantucket.com/uncanny-valley
I'D RATHER SINK - THAN CALL ROY FOR HELP. WARHOLS, COPIES and FAKES. BRINGING UP THE BACON. A PLEASANTLY SCENTED BEAVER. AN UNCANNY VALLEY, IN REVERSE. THE MAP IS NOT THE TERRITORY. FAKE STUMP, REAL TREE. ONE EASTER THERE WERE NO EGGS. A BRACELET OF BRIGHT HAIRE ABOUT THE BONE. WHEN WORDS SOAR THROUGH AIR. WORDS IN THEIR HANDS. IN PRAISE OF APPOLLINARIS. WILLIAM BLADES LENDS A BOOK. THE CRUMBS BETWEEN THE PAGES. BIRTH OF A DICTIONARY. COOKERY THE AUSTRALIAN WAY. HOW TO READ A BROADSHEET ON THE TRAIN.
lqkhoo.com
LQ's wiki
http://lqkhoo.com/wiki
From LQ's wiki. Hi, I'm Li! I'm most interested in working with technologies that can tractably and massively scale, such as applications of machine learning to large, high dimensional, sparse, or heterogeneous data. I hold a Master of Engineering in Computer Science with first class honours from University College London. Since August 2015. I have experience with datasets and methods related to search and advertising, semantic computation, and NLP - corpora ( mined Twitter data, BNC. What I'm working on.
mayachamidigitalarts.blogspot.com
MAYA CHAMI - MA DIGITAL ARTS: June 2015
http://mayachamidigitalarts.blogspot.com/2015_06_01_archive.html
Dedicated originally to the MA in Digital Arts at Camberwell College of Arts, UAL (2009-2011). Starting October 2011, I will be using this same blog to continue posting about projects in progress. Thursday, 25 June 2015. The latest news from Research at Google. Inceptionism: Going Deeper into Neural Networks. Wednesday, June 17, 2015. Posted by Alexander Mordvintsev, Software Engineer, Christopher Olah, Software Engineering Intern and Mike Tyka, Software Engineer. One way to visualize what goes on is to ...
csdn.net
CVPR 2015深度学习回顾:ConvNet、Caffe、Torch及其他-CSDN.NET
http://www.csdn.net/article/2015-08-06/2825395
本文是vision.ai的Co-Founder,前MIT研究人员T. Malisiewicz针对CVPR'15尤其是Deep Learning的综述文章,谈到了ConvNet的Baseline,Caffe和Torch之间的分歧,ArXiv论文热,以及百度的ImageNet违规事件等。 CVPR可谓计算机视觉领域的奥运会,这是vision.ai的Co-Founder,前MIT研究人员T. Malisiewicz针对CVPR'15尤其是Deep Learning的综述文章,谈到了ConvNet的Baseline,Caffe和Torch之间的分歧,ArXiv论文热,以及百度的ImageNet违规事件等。 原文标题为 Deep down the rabbit hole: CVPR 2015 and beyond。 数据集通常是一件大事 请下载我们的数据 数据集依旧是件大事 但是我们抱歉告诉你,你所在大学的计算资源达不到要求 但幸运的是,我们 X 公司总在招聘,所以来加入我们吧,让我们一起推动研究的向前发展。 如果你想要查看个人文献,我建议Andrej Karpathy的 CVPR 2015文献在线导航工具.
people.csail.mit.edu
Spatial envelope
http://people.csail.mit.edu/torralba/code/spatialenvelope
Modeling the shape of the scene: a holistic representation of the spatial envelope. Aude Oliva, Antonio Torralba. International Journal of Computer Vision. Vol 42(3): 145-175, 2001. PDF. This material is based upon work supported by the National Science Foundation under CAREER Grant No. 0546262. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. ParamnumberBlocks = 4;.
multimediacommons.wordpress.com
Additional Feature Corpora | The Multimedia Commons Initiative
https://multimediacommons.wordpress.com/other-feature-corpora
The Multimedia Commons Initiative. A research community around the YFCC100M dataset. YLI-GEO: Placing Task Subcorpus. YLI-MED: Event Detection Subcorpus. Tag and Caption Prediction Challenge. The Multimedia Commons resources include several sets of computed features contributed by researchers at collaborating institutions (in addition to the YLI Feature Corpus. Extracted from the images in the Yahoo Flickr Creative Commons 100 Million (YFCC100M) dataset. Features and Annotation Sets Hosted on Other Sites.
vision.stanford.edu
Stanford University CS231n: Convolutional Neural Networks for Visual Recognition
http://vision.stanford.edu/teaching/cs231n/project.html
CS231n: Convolutional Neural Networks for Visual Recognition. Update: Winter Quater 2015 projects. Have now been posted! The Course Project is an opportunity for you to apply what you have learned in class to a problem of your interest. There are two project options you can pick from:. Option 1: Your own project (Encouraged). Your are encouraged to select a topic and work on your own project. Potential projects usually fall into these two tracks:. IEEE Conference on Computer Vision and Pattern Recognition.
ianqrowan.wordpress.com
Inceptionalism – Astounding Images Produced by Neural Network | Ian Q. Rowan
https://ianqrowan.wordpress.com/2015/06/21/inceptionalism-astounding-images-produced-by-neural-network
About Ian Q. Rowan. Ian Q Rowan Photography. Ian Q Rowan Videography. Ian Q Rowan Writing. Writings, photography and film. Stay updated via RSS. The Narwhal’s Wake IndieGoGo Campaign Fiscally Sponsored by The Redford Center. Inceptionalism – Astounding Images Produced by Neural Network. When In Rome…. 15 Days of NarNar the Narwhal: Day 8. The Narwhal's Wake - Feature Documentary Film. Inceptionalism – Astounding Images Produced by Neural Network. Posted: June 21, 2015 in Collage. Until it gives the class...