PPT-Panther: Fast Top-k Similarity Search in Large Networks

Author : marina-yarberry | Published Date : 2017-08-22

Jing Zhang Jie Tang Cong Ma Hanghang Tong Yu Jing and Juanzi Li Presented by Moumita Chanda Das Outline Introduction Problem formulation Panther

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Panther: Fast Top-k Similarity Search in Large Networks: Transcript


Jing Zhang Jie Tang Cong Ma Hanghang Tong Yu Jing and Juanzi Li Presented by Moumita Chanda Das Outline Introduction Problem formulation Panther using path sampling. uncedu sanjivkgooglecom slazebniuiucedu Abstract This paper focuses on the problem of learning binary codes for ef64257cient retrieval of highdimensional nonnegative data that arises in vision and text applications where counts or frequencies are use Presented by:. Akshay. Kumar. Pankaj. . Prateek. Are these similar?. Number ‘1’ vs. color ‘red’. Number ‘1’ vs. ‘small’. Horse vs. Rider. True vs. false . ‘. Monalisa. ’ vs. ‘Virgin of the rocks’. F. uel Saving Device. Petrol Crisis – never ending. ガソリン価格の高騰ー天井知らず. Prices of petrol had been increased sharply since 10 years ago.. 170%. . If you take action for a one time 10% . 20 Questions to. Test your Florida panther I.Q. .. Purr-. fessor. Lotz. Mark Lotz, Panther Biologist. Florida Fish & Wildlife Conservation Commission. What color are Florida panthers?. Black. Pink. Building Search-Driven Portals . with Microsoft Office SharePoint Server 2007 and Microsoft Silverlight .  Jan Helge Sageflåt. . Director, Product Development. . FAST, A Microsoft® Subsidiary. Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. and. Gigabit Ethernet . Advanced Computer Networks. D. 12. Fast/Gigabit Ethernet Outline. Fast Ethernet. 100 BASE T4. 8B/6T encoding. 100 BASE TX. 100 BASE FX. Collision domains. Gigabit Ethernet. 1000 BASE SX. Ph.D. Thesis Defense. Anoop Cherian. *. Department of Computer Science and Engineering. University of Minnesota, Twin-Cities. Adviser. : Prof. Nikolaos Papanikolopoulos. *Contact: . cherian@cs.umn.edu. a Multi-Layered Indexing Approach. Yongjiang Liang, . Peixiang Zhao. CS @ FSU. zhao@cs.fsu.edu. Outline. Introduction. State-of-the-art solutions. ML-Index & similarity search. Experiments. Conclusion. KDD, New York City. August 26, 2014. Manish . Purohit. ^. , . B. Aditya Prakash. *. , . Chanhyun. Kang. ^. , Yao Zhang. *. , V S . Subrahmanian. ^. . . *. Virginia Tech . ^. University of Maryland. EMC Symmetrix VMAX, FAST VP, Microsoft Hyper-V. Agenda. Solution . o. verview: Objectives. Why this solution. Solution architecture (physical and virtualized). Results and findings (physical and virtualized). Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. Trees, Hidden Markov Models, Biological Annotations. Paul Thomas, . Ph.D.. Division of Bioinformatics. Department of Preventive Medicine. Keck School of Medicine. University of Southern California. 1. Scott Wen-tau Yih. Joint work with. Kristina Toutanova, John Platt, Chris Meek. Microsoft Research. Cross-language Document Retrieval. English Query Doc. Spanish Document Set. Web Search & Advertising.

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