erengolge.com
Eren Golge's Home
http://www.erengolge.com/index.html
100px;" / Follow @erogol. Erengolge 'at' gmail.com. At Computer Science Department, Bilkent University. Prof H. Altay Guvenir. And Asst. Prof. Gokberk Cinbis. Bilkent Machine Learning Group. Deep learning, Artificial Intelligence, Information Retrieval and interested in Cognitive Psychology, Metacognition. Placed top-3 at ImageNet2015 Localization and Scene challenge with Qualcomm Group. Opened Machine Learning Turkey.
erengolge.com
Eren Golge's Home
http://www.erengolge.com/projects.html
100px;" / Follow @erogol. Erengolge 'at' gmail.com. Multimedia and User Credibility Knowledge Extraction CHIST-ERA project - For Detail. Bunch-It "clustering search engine". Bunch is a clustering, personalized search engine prototype that aims to improve your search experience via good support of visual components, clustering algorithms and search suggestions algorithms. Ask Address (a Google Chrome Extension). To Softpedia to see Ask Address!
erengolge.com
Eren Golge's Home
http://www.erengolge.com/publications.html
100px;" / Follow @erogol. Erengolge 'at' gmail.com. Gölge, E., and Duygulu, P. FAME:Face Association through Model Evolution , http:/ arxiv.org/pdf/1407.2987.pdf. Gölge, E., and Duygulu, P. ConceptMap:Mining noisy web data for concept learning , The European Conference on Computer Vision (ECCV) 2014. - - PROJECT PAGE. Gölge, E., and Duygulu, P. Rectifying Self Organizing Maps for Automatic Concept Learning from Web Images http:/ arxiv.org/abs/1312.4384. GEN-TAG : Tag Prediction for Stackoverflow Posts PDF.
erengolge.com
Eren Golge's Home
http://www.erengolge.com/links.html
100px;" / Follow @erogol. Erengolge 'at' gmail.com. My Followings- - - - (Machine Learning). Http:/ yaroslavvb.blogspot.com. Hunch - Machine Learning Blog. CS229 Stanford Machine Learning Course. Http:/ mlthirst.wordpress.com/. Http:/ work.caltech.edu/library/. My Followings- - - - (social). A good journal for the ones in the dilemma of having PhD. THE Ph.D. GRIND by Philip J. Guo. Every Researcher should read. You and Your Research. A talk by R. Hamming and scripted by J. F. Kaiser.