PPT-CS548 Fall 2018 Anomaly Detection Showcase

Author : sistertive | Published Date : 2020-08-26

Showcase by Abhishek Shah Mahdi Alouane Marie Solman Satishraju Rajendran and EnoObong Inyang Showcasing work by Cai Lile Li Yiqun On ANOMALY DETECTION IN THERMAL

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CS548 Fall 2018 Anomaly Detection Showcase: Transcript

Showcase by Abhishek Shah Mahdi Alouane Marie Solman Satishraju Rajendran and EnoObong Inyang Showcasing work by Cai Lile Li Yiqun On ANOMALY DETECTION IN THERMAL IMAGES USING DEEP NEURAL NETWORKS. Machine Learning . Techniques. www.aquaticinformatics.com | . 1. Touraj. . Farahmand. - . Aquatic Informatics Inc. . Kevin Swersky - . Aquatic Informatics Inc. . Nando. de . Freitas. - . Department of Computer Science – Machine Learning University of British Columbia (UBC) . &. Intrusion . Detection Systems. 1. Intruders. Three classes of intruders:. Examples of Intrusion. Performing a remote root compromise of an e-mail server. Defacing a Web server. Guessing and cracking passwords. Detection. Carolina . Ruiz. Department of Computer Science. WPI. Slides based on . Chapter 10 of. “Introduction to Data Mining”. textbook . by Tan, Steinbach, Kumar. (all figures and some slides taken from this chapter. By Ashley and Teighgan. CHoir. The school choir is excited to be performing at Laycock Street Theatre on the 24. th. of August as part of a mini mass choir with Ettalong and Niagara . Park Public Schools. . 2016 Showcase Award Guidelines . http. ://. education.qld.gov.au/community/events/showcase/2016/guidelines.html. . Preparing a 2016 Showcase nomination. What is the same as 2015?. Total submission length max. 15 A4 pages, min. 11 point . Showcase . by . Nichole Etienne, Rohitpal Singh, Suchithra Balakrishnan, Yousef Fadila. Showcasing work by Bowen Du, Chuaren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong on “ . Catch Me If You Can - Detecting Pickpocket Suspects from Large-Scale Transit Records. Lecture Notes for Chapter 10. Introduction to Data Mining. by. Tan, Steinbach, Kumar. New slides have been added and the original slides have been significantly modified by . Christoph F. . Eick. Lecture Organization . Shilin . He. ,. . Jieming. Zhu, . Pinjia. . He,. and Michael R. . Lyu. Department of Computer Science and Engineering, . The Chinese University of Hong Kong, Hong Kong. 2016/10/26. Background & Motivation. Project Lead: . Farokh. . Bastani. , I-Ling Yen, . Latifur. Khan. Date: April 7, 2011. 2010/Current Project Overview. Self-Detection of Abnormal Event Sequences. 2. Tasks:. Prepare Cisco event sequence data for analysis tools.. “Anomaly Detection: A Tutorial”. Arindam. . Banerjee. , . Varun. . Chandola. , . Vipin. Kumar, Jaideep . Srivastava. , . University of Minnesota. Aleksandar. . Lazarevic. , . United Technology Research Center. 14. . World-Leading Research with Real-World Impact!. CS 5323. Outline. Anomaly detection. Facts and figures. Application. Challenges. Classification. Anomaly in Wireless. . 2. Recent News. Hacking of Government Computers Exposed 21.5 Million People. Authors. Bo Sun, Fei Yu, Kui Wu, Yang Xiao, and Victor C. M. Leung.. . Presented by . Aniruddha Barapatre. Introduction. Importance of Cellular phones.. Due to the open radio transmission environment and the physical vulnerability of mobile devices , . Hierarchical Temporal Memory (and LSTM). Jaime Coello de Portugal. Many thanks to . Jochem. . Snuverink. Motivation. Global outlier. Level change. Pattern deviation. Pattern change. Plots from: Ted . Institute of High Energy Physics, CAS. Wang Lu (Lu.Wang@ihep.ac.cn). Agenda. Introduction. Challenges and requirements of anomaly detection in large scale storage systems . Definition and category of anomaly.

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