论文与出版物 Combining Active Sampling with Parameter Estimation and Prediction in Single Networks Joel J. Pfeiffer, Jennifer Neville, Paul N. Bennett Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013) | June 2013 Proceedings of the ICML 2013 Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs
论文与出版物 Tractable Semi-Supervised Learning of Complex Structured Prediction Models Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi, Keerthi Selvaraj, Sundararajan Sellamanickam June 2013
论文与出版物 Optimized Product Quantization for Approximate Nearest Neighbor Search Tiezheng Ge, Kaiming He, Qifa Ke, Jian Sun CVPR 2013 | June 2013 CVPR 2013
论文与出版物 Low-rank matrix completion using alternating minimization Prateek Jain, Praneeth Netrapalli, Sujay Sanghavi Symposium on Theory of Computing, STOC’13, Palo Alto, CA, USA, June 1-4, 2013 | June 2013 项目
论文与出版物 Optimal Data Set Selection: An Application to Grapheme-to-Phoneme Conversion Young-Bum Kim, Benjamin Snyder North American Association for Computational Linguistics (ACL) | June 2013 North American Association for Computational Linguistics (ACL) 项目 项目
论文与出版物 Semi-supervised Gaussian Process Ordinal Regression P.K. Srijith, Shirish Shevade, Sundararajan Sellamanickam June 2013
论文与出版物 Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, Andrew Fitzgibbon Proc. Computer Vision and Pattern Recognition (CVPR) | June 2013 项目 项目 项目
论文与出版物 Message passing with l1 penalized KL minimization Yandong Guo, Yuan Qi Proceedings of International Conference on Machine Learning (ICML) | June 2013
论文与出版物 Stat! – An Interactive Analytics Environment for Big Data Mike Barnett, Badrish Chandramouli, Robert DeLIne, Steven Drucker, Danyel Fisher, Jonathan Goldstein, Patrick Morrison, John Platt ACM SIGMOD International Conference on Management of Data (SIGMOD 2013) | June 2013 项目 项目
论文与出版物 Leveraging Structure from Motion to Learn Discriminative Codebooks for Scalable Landmark Classification Alessandro Bergamo, Sudipta Sinha, Lorrenzo Torresani CVPR | June 2013 CVPR