PPT-Spectral Networks and Their Applications

Author : kittie-lecroy | Published Date : 2016-03-17

Gregory Moore Rutgers University Caltech March 2012 Davide Gaiotto GM Andy Neitzke Spectral Networks and Snakes Spectral Networks Wallcrossing in Coupled 2d4d

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Spectral Networks and Their Applications: Transcript


Gregory Moore Rutgers University Caltech March 2012 Davide Gaiotto GM Andy Neitzke Spectral Networks and Snakes Spectral Networks Wallcrossing in Coupled 2d4d Systems 11032598. Rodrigo Fonseca (. rfonseca. ). http://www.cs.brown.edu/courses/cs168. cs168tas@cs.brown.edu. Based partly on lecture notes by David . Mazi. ères. , Phil Levis, John . Jannotti. , Peterson & Davie. classical/quantum . phase transitions. Ginestra . Bianconi. . Department of Physics, Northeastern . University, Boston. ETC Trento Workshop. Spectral properties of complex networks . Trento 23-29 July, . Applications. Advanced Computer Networks. . TinyOS. Applications Outline. AntiTheft. Example . {done in gradual pieces}. LEDs, timer, booting. Sensing Example. Light Sensor. Wiring to . AntiTheft. Degeneracies. & . Hyperkahler. Geometry. Gregory Moore, Rutgers University. SCGP, Oct. 31, 2012. Davide. . Gaiotto. , G.M. , Andy . Neitzke. D. Van den . Bleeken. , G.M. , A. Royston. Gregory Moore, Rutgers University. Strings-Math, Bonn, July, 2012. P. . Aspinwall,W. .-y. . Chuang,E.Diaconescu,J. . . Manschot. , . Y. . . Soibelman. D. . Gaiotto. & A. . Neitzke. D. Van den . Applications. Advanced Computer Networks . TinyOS. Applications Outline. AntiTheft. Example. LEDs, timer, booting. Sensing Example. Light Sensor. Wiring to . AntiTheft. Single Hop Networks. Active Messages interface. Threat Report – Global Findings. February 2013. 2. | ©2012, Palo Alto Networks. Confidential and Proprietary. . Key Findings. Analyzed three groups of applications on more than 3,000 networks – personal use, business use and custom or unknown . Mr. Darko Pekar, Speech Morphing Inc.. Contents. Text-to-Speech . development . in . SMI:. HMM-TTS. Hybrid TTS. Neural networks based TTS. Improvements to TTS:. Separate modelling of spectral details. Blake Shaw, Tony . Jebara. ICML 2009 (Best Student Paper nominee). Presented by Feng Chen. Outline. Motivation. Solution. Experiments. Conclusion. Motivation. Graphs exist everywhere: web link networks, social networks, molecules networks, . D12. . TinyOS. Applications Outline. AntiTheft. . Example . {done in gradual pieces}. LEDs, timer, booting. Sensing Example. Light Sensor. Wiring to . AntiTheft. Single Hop Networks. Active Messages interface. Gregory Moore, Rutgers University. Strings-Math, Bonn, July, 2012. P. . Aspinwall,W. .-y. . Chuang,E.Diaconescu,J. . . Manschot. , . Y. . . Soibelman. D. . Gaiotto. & A. . Neitzke. D. Van den . Monojit . Choudhury. Microsoft Research India. monojitc@microsoft.com. . . light. color. red. blue. blood. sky. heavy. weight. 100. 20. 1. NLP vs. Computational Linguistics. Computational Linguistics is the study of . Internet Services and Applications Symposium ICNC 2015Anaheim California USAFebruary 16-19 2015 http//wwwconf-icncorg/2015Symposium Co-chairs Kejie Lu University of Puerto Rico at Mayaguez Puerto Rico Oct 25, 2016. 1. October 25, 2016. October 25, 2016. 5G Networks and its Applications. 2. Agenda. Mobile . Technology Evolution . What is 5G?. Why is 5G different. ?. 5G Applications . Drivers . and Opportunities.

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