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The top documents tagged [training set slide]

1 Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H.S. Torr Improved Initialisation and Gaussian Mixture Pairwise Terms for Dense Random Fields
1 Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H.S. Torr Improved Initialisation and Gaussian Mixture Pairwise Terms for Dense Random Fields
215 views
Bioinspired Computing Lecture 14 Alternative Neural Networks Netta Cohen
Bioinspired Computing Lecture 14 Alternative Neural Networks Netta Cohen
225 views
1) New Paths to New Machine Learning Science 2) How an Unruly Mob Almost Stole the Grand Prize at the Last Moment Jeff Howbert February 6, 2012
1) New Paths to New Machine Learning Science 2) How an Unruly Mob Almost Stole the Grand Prize at the Last Moment Jeff Howbert February 6, 2012
213 views
Object recognition (part 1) CSE P 576 Larry Zitnick (larryz@microsoft.com)larryz@microsoft.com
Object recognition (part 1) CSE P 576 Larry Zitnick ([email protected])[email protected]
220 views
Www.monash.edu.au Classification and Prediction Monash University Semester 1, March 2006
Www.monash.edu.au Classification and Prediction Monash University Semester 1, March 2006
217 views
An Adaptive Learning Method for Target Tracking across Multiple Cameras Kuan-Wen Chen, Chih-Chuan Lai, Yi-Ping Hung, Chu-Song Chen National Taiwan University
An Adaptive Learning Method for Target Tracking across Multiple Cameras Kuan-Wen Chen, Chih-Chuan Lai, Yi-Ping Hung, Chu-Song Chen National Taiwan University
213 views
Dr. Amy Loutfi AASS Mobile Robotics Laboratory University of Örebro, Sweden amy.loutfi@tech.oru.se Dr. Amy Loutfi AASS Mobile Robotics Laboratory University
Dr. Amy Loutfi AASS Mobile Robotics Laboratory University of Örebro, Sweden [email protected] Dr. Amy Loutfi AASS Mobile Robotics Laboratory University
219 views
1 Self-Organizing Maps in Natural Language Processing Giovanni Da San Martino Corso di Trattamento del Linguaggio Naturale A.A. 2002/2003
1 Self-Organizing Maps in Natural Language Processing Giovanni Da San Martino Corso di Trattamento del Linguaggio Naturale A.A. 2002/2003
219 views
“Classifiers” R & D project by Aditya M Joshi adityaj@cse.iitb.ac.in IIT Bombay Under the guidance of Prof. Pushpak Bhattacharyya pushpakbh@gmail.com IIT
“Classifiers” R & D project by Aditya M Joshi [email protected] IIT Bombay Under the guidance of Prof. Pushpak Bhattacharyya [email protected] IIT
222 views
Classification and Feature Selection for Craniosynostosis Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew Speltz, Su-In Lee University of
Classification and Feature Selection for Craniosynostosis Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew Speltz, Su-In Lee University of
214 views
Face Representations Learning by Deep Models Xiaogang Wang Department of Electronic Engineering, The Chinese University of Hong Kong
Face Representations Learning by Deep Models Xiaogang Wang Department of Electronic Engineering, The Chinese University of Hong Kong
217 views
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data John Lafferty Andrew McCallum Fernando Pereira
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data John Lafferty Andrew McCallum Fernando Pereira
214 views