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Submodular set function
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#	Item
91	Pushmeet Kohli Microsoft Research E(x) x in {0,1}n Add to Reading List Source URL: imagine.enpc.fr Language: English - Date: 2014-07-01 10:36:42 Submodular set function P NP-hard Maximum cut Theoretical computer science Complexity classes Applied mathematics
92	1 Learning Weighted Lower Linear Envelope Potentials in Binary Markov Random Fields Stephen Gould, Member, IEEE Abstract—Markov random fields containing higher-order terms are becoming increasingly popular due to thei Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-11-26 17:33:28 Functions and mappings Graphical models Theoretical computer science Econometrics Mathematical optimization Submodular set function Markov random field Envelope Function Mathematics Mathematical analysis Statistics
93	How Robust is the Skill-Dispersion-Complementarity Hypothesis? Matilde Bombardini, Giovanni Gallipoli†and Germán Pupato‡ August 2012 Abstract We explore the robustness of the hypothesis, first put forward by Gros Add to Reading List Source URL: wctradeworkshop.weebly.com Language: English - Date: 2013-01-26 12:22:42 Supermodular function Structure Isoquant Skill Dispersion Production function Technology Business Order theory Submodular set function Microeconomics
94	On learning to localize objects with minimal supervision Hyun Oh Song Ross Girshick Stefanie Jegelka Julien Mairal Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-05-13 23:45:09 Submodular set function Statistics Statistical classification Support vector machine
95	SODA14 – Accepted Papers Andreas Björklund, Petteri Kaski and Łukasz Kowalik Counting thin subgraphs via packings faster than meet-in-the-middle time Anand Louis and Konstantin Makarychev Approximation Algorithm for Add to Reading List Source URL: siam.org Language: English - Date: 2013-09-19 09:13:08 NP-complete problems Approximation algorithm Submodular set function Shortest path problem Bin packing problem Vertex cover Dominating set Independent set Computational complexity theory Theoretical computer science Graph theory Mathematics
96	Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion Gunhee Kim1 1 Eric P. Xing1 Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:20:16 Submodular set function Optics Segmentation Vision Heat equation Diffusion MRI K-means clustering Random walk Active contour model Statistics Image processing Computer vision
97	Global Stereo Reconstruction under Second Order Smoothness Priors Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2008-07-21 08:37:35 Image processing Operations research Segmentation Theoretical computer science Conditional random field Graph Submodular set function Mathematical optimization Belief propagation Mathematics Graphical models Applied mathematics
98	An Efficient Simulation-based Approach to Ambulance Fleet Allocation and Dynamic Redeployment Yisong Yue and Lavanya Marla and Ramayya Krishnan iLab, H. John Heinz III College Carnegie Mellon University 5000 Forbes Ave. Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2012-04-18 02:14:55 Submodular set function Systems science Systems theory Emergency medical services Dynamic programming Ambulance Pareto efficiency Operations research Mathematical optimization Control theory
99	Parallel Double Greedy Submodular Maximization Xinghao Pan1 Stefanie Jegelka1 Joseph Gonzalez1 Joseph Bradley1 Michael I. Jordan1,2 1 Department of Electrical Engineering and Computer Science, and 2 Department of Statist Add to Reading List Source URL: amplab.cs.berkeley.edu Language: English - Date: 2014-11-02 15:53:55 Submodular set function Algorithm
100	Learning Policies for Contextual Submodular Prediction Stephane Ross Jiaji Zhou Yisong Yue Debadeepta Dey Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2013-05-08 21:16:59 Machine learning Pi Mathematics Artificial intelligence Cognition Submodular set function Markov models Reinforcement learning

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