PPT-Streaming & sampling
Author : test | Published Date : 2018-02-26
1 Todays Topics Intro The problem The streaming model Definition Algorithm example Frequency moments of data streams Distinct Elements in a Data Stream 2Universal
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Streaming & sampling: Transcript
1 Todays Topics Intro The problem The streaming model Definition Algorithm example Frequency moments of data streams Distinct Elements in a Data Stream 2Universal Pairwise Independent Hash Functions. ESSAY REVISION. ESSAY PLANNING Q AND A. TIMED ESSAY ON THEORIES OF EDUCATION. COFFEE BREAK. INTRODUCTION TO LABELLING AND STREAMING –ACTIVITY. PP SLIDES: STREAMING /LABELLING HARGREAVES AND BALL. ESSAY AND EXAM PLANNING. Anup. Bhattacharya. IIT Delhi. . Joint work with Davis . Issac. (MPI), . Ragesh. . Jaiswal. (IITD) and Amit Kumar (IITD). Introduction: Sampling. Select a subset of data. Computations on “representative” subset would approximate computations on whole data. Large-scale . near-. real-time . stream processing. UC BERKELEY. Tathagata Das (TD). Motivation. Many important applications must process large . data streams . at second-scale latencies. Check-ins, status updates, site . Sampling is perhaps the most important step in assuring that good quality aggregates are being used on INDOT contracts. Since a sample is just a small portion of the total material, the importance th Rutuja Raghoji . Ramya. . Tridandapani. Malini. . Karunagaran. P2P with respect to media streaming. Users contribute content they have already consumed back to other users of the application.. Considerable intelligence to be located at the edge of the network.. Sketching. for streaming. Alexandr. . Andoni. (MSR). Application: Streaming. IP. Frequency. 131.107.65.14. 3. 18.0.1.12. 2. 80.97.56.20. 2. 131.107.65.14. 131.107.65.14. 131.107.65.14. 18.0.1.12. 18.0.1.12. Surface Reconstruction. Matthew Bolitho,. Michael Kazhdan,. Randal Burns,. Hugues Hoppe. Motivation. With improvements in. acquisition technology,. huge datasets are now. available for processing.. USGS . By. Nirvan Sagar – 14563364. Srishti. . Ganjoo. – 53526280. Syed . Shahbaaz. . Safir. - 64882986. Introduction. Increasing consumer demand for streaming of high definition (HD) content has led to the need for resilient, fault tolerant, and high bandwidth connectivity.. A link between Continuous-time/Discrete-time Systems. x. (. t. ). y. (. t. ). h. (. t. ). x. [. n. ]. y. [. n. ]. h. [. n. ]. Sampling. x. [. n. ]=. x. (. nT. ), . T. : sampling period. x. [. n. ]. x. 1. Source: Nielsen Total Audience Report, Q1’16; based on cross-platform homes ranked by in-home streaming behavior. 1/1/16-3/31/16 via Nielsen NPOWER/Cross-Platform Homes Panel for P2 . Streaming based on home PC only. Chart based on “average daily minutes”. Ramya. . Tridandapani. Malini. . Karunagaran. P2P with respect to media streaming. Users contribute content they have already consumed back to other users of the application.. Considerable intelligence to be located at the edge of the network.. Disusun. . Oleh. :. *. Dito. . Setyo. . R(140303090006). *. M. . Beben. . P(140303090021). *. M.Mehdi. H.K.(. 140303090023). *. M.Octaviano. . Pratama. (140303090008). *. Ricky . Rustiadi. (140303090012). /. after. . DeGroote. Consulting Group. Elizabeth, . Chinomnso. , Marley, Britney. 1. 2. ever/after. Augmented reality. Lightsaber enabled. 3. How might Disney . disrupt online streaming . leveraging synergies . Feb 2014. OSI Layers Introduction. Data. Application. Network Process to . Application. Data. Presentation. Data Representation . and Encryption. Data. Session. Inter-host Communication. Segments. Transport.
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