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Deep Learning - What's the buzz all about
Technology Deep Learning - What's the buzz all about

1.Deep Learning What’s the buzz all about? Dr. Debdoot Sheet Assistant Professor Department of Electrical Engineering Indian Institute of Technology Kharagpur www.facweb.iitkgp.ernet.in/~debdoot/…

ECCV2010: feature learning for image classification, part 2
Education ECCV2010: feature learning for image classification, part 2

1. Image classificationby sparse coding 2. Feature learning problem Given a 14x14 image patch x, can represent it using 196 real numbers.Problem: Can we find a learn a betterrepresentation…

Fame cvpr
Science Fame cvpr

1. + FAME: Face Association through Model Evolution Pinar Duygulu (CMU, Hacettepe University) Eren Golge (Bilkent University) 2. + Yale dataset: 10 subjects, 9 poses, 64…

Unsupervised Feature Selection for Multi-Cluster Data Deng Cai et al, KDD 2010 Presenter: Yunchao Gong Dept. Computer Science, UNC Chapel Hill.
Documents Unsupervised Feature Selection for Multi-Cluster Data Deng Cai et al, KDD 2010 Presenter: Yunchao...

Slide 1 Unsupervised Feature Selection for Multi-Cluster Data Deng Cai et al, KDD 2010 Presenter: Yunchao Gong Dept. Computer Science, UNC Chapel Hill Slide 2 Introduction…

1 Blind Image Quality Assessment Based on Machine Learning 陈 欣 2014-12-29.
Documents 1 Blind Image Quality Assessment Based on Machine Learning 陈 欣 2014-12-29.

Slide 1 1 Blind Image Quality Assessment Based on Machine Learning 陈 欣 2014-12-29 Slide 2 Image Quality Assessment 2 Image quality assessment (IQA) aims to use computational…

20130911 idc hpc_geordie_rose_final
Technology 20130911 idc hpc_geordie_rose_final

1. The D-Wave Two Dr. Geordie Rose Founder and CTO, D-Wave 2:00PM September 11th 2013 @ IDC HPC User Forum, Boston, MA Image from http://www.nas.nasa.gov/quantum/quantumcomp.html…

Playing with features for learning and prediction Jongmin Kim Seoul National University.
Documents Playing with features for learning and prediction Jongmin Kim Seoul National University.

Slide 1 Playing with features for learning and prediction Jongmin Kim Seoul National University Slide 2 Problem statement Predicting outcome of surgery Slide 3 Ideal approach..…

Deep Learning for Vision Adam Coates Stanford University (Visiting Scholar: Indiana University, Bloomington)
Documents Deep Learning for Vision Adam Coates Stanford University (Visiting Scholar: Indiana University,...

Slide 1 Deep Learning for Vision Adam Coates Stanford University (Visiting Scholar: Indiana University, Bloomington) Slide 2 2 What do we want ML to do? Given image, predict…

Boris Babenko Department of Computer Science and Engineering University of California, San Diego Semi-supervised and Unsupervised Feature Scaling.
Documents Boris Babenko Department of Computer Science and Engineering University of California, San Diego...

Boris Babenko Department of Computer Science and Engineering University of California, San Diego Semi-supervised and Unsupervised Feature Scaling Abstract Feature selection…

Deep Learning for NLP without Magic - Richard Socher
Documents Deep Learning for NLP without Magic - Richard Socher

Deep Learning for NLP (without Magic) Richard Socher Stanford, MetaMind ML Summer School, Lisbon *with a big thank you to Chris Manning and Yoshua Bengio, with whom I did…

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