CVPR12 Tutorial on Deep Learning Sparse Coding Kai Yu [email protected] Department of Multimedia, Baidu Relentless research on visual recognition Caltech 101 80 Million Tiny…
Slide 1Stochastic Gradient Descent Training for L1-regularizaed Log-linear Models with Cumulative Penalty Yoshimasa Tsuruoka, Junichi Tsujii, and Sophia Ananiadou University…
1. Computer vision:models, learning and inference Chapter 11 Fitting probability modelsPlease send errata to [email protected] 2. Structure• Chain and tree models•…
Center for Evolutionary Medicine and Informatics Sparse Screening for Exact Data Reduction Jieping Ye Arizona State University 1 Joint work with Jie Wang and Jun Liu Center…
1 Detection of Anomalous Crowd Behavior Using Spatio-Temporal Multiresolution Model and Kronecker Sum Decompositions Kristjan Greenewald, Student Member, IEEE, and Alfred…
Slide 1Bayesian Generalized Kernel Mixed Models Zhihua Zhang, Guang Dai and Michael I. Jordan JMLR 2011 Slide 2 Summary of contributions Propose generalized kernel models…
Slide 1 Bayesian Models, Prior Knowledge, and Data Fusion for Monitoring Messages and Identifying Authors. Paul Kantor Rutgers May 14, 2007 Slide 2 Outline The Team Bayes’…
Slide 1 Computer vision: models, learning and inference Chapter 11 Models for Chains and Trees Slide 2 Structure Chain and tree models MAP inference in chain models MAP inference…
Regression Linear Regression slide thanks to Greg Shakhnarovich (CS195-5, Brown Univ., 2006) slide thanks to Greg Shakhnarovich (CS195-5, Brown Univ., 2006) slide thanks…
Regression Linear Regression slide thanks to Greg Shakhnarovich (CS195-5, Brown Univ., 2006) slide thanks to Greg Shakhnarovich (CS195-5, Brown Univ., 2006) slide thanks…