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1 - 10 of 13 search results for People aliens |u:mobile-systems.cl.cam.ac.uk where 0 match all words and 13 match some words.
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  2. nips2009.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/nips2009.pdf
    4 Dec 2011: the attendees. People wearing tags were tracked for the course of three days. ... RFIDand expressed interests were usedby the organizers of the conference to help people in networking.
  3. SpotME If You Can: Randomized Responses forLocation Obfuscation on ...

    https://mobile-systems.cl.cam.ac.uk/papers/icdcs2011.pdf
    2 Mar 2011: statistically analyzedto estimate, for example, the actual number of people in agiven location. ... location. Step 2: A service infers number and flow of people fromthe maps.
  4. An Empirical Study of Geographic User Activity Patterns in ...

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm11poster.pdf
    5 Apr 2011: While people fly from one city to another andcheckin at the corresponding airports, they unfold spatio-temporal connections of larger scales. ... Despite occurring within asmall spatial interval, this may indicate an existence of a lo-cation where people
  5. Socio-spatial Properties of Online Location-based Social Networks

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm11.pdf
    28 Mar 2011: or if, instead,some individuals prefer connecting to people further away,leading to a heterogeneous system. ... As people spend more time online, more and more datawill be available regarding their spatial behavior and theirsocial connections, allowing
  6. Exploiting Semantic Annotations for Clustering Geographic Areas and…

    https://mobile-systems.cl.cam.ac.uk/papers/SMW11.pdf
    22 Apr 2011: Home/Work/Other isHome and Parks & Outdoors is Parks). With respect to user and area clustering parallels, there is apattern concerning the appearance of Food lovers for NewYork and Nightlife people
  7. Exploiting Place Features in Link Prediction onLocation-based Social…

    https://mobile-systems.cl.cam.ac.uk/papers/kdd2011.pdf
    30 May 2011: Eagle et al. have consideredhow interactions between people over mobile phones can ac-curately predict relations among them [7]. ... PNAS, 106(36):15274–15278, September 2009. [8] Facebook. People You May Know.
  8. 978-1-4577-0351-5/11/$26.00 c©2011 IEEE Exploiting Temporal Complex…

    https://mobile-systems.cl.cam.ac.uk/papers/wowmom11full.pdf
    27 Apr 2011: part of life for many people who carry such devices throughtheir daily routine. ... The horizontal axis is time and the vertical groupings ofnodes represents people that are in the same static connectedcomponent such that there is a path between every
  9. SenShare: Transforming Sensor Networks IntoMulti-Application Sensing…

    https://mobile-systems.cl.cam.ac.uk/papers/ewsn2012.pdf
    20 Dec 2011: Office Occupancy: The second application that we deployed is responsiblefor monitoring people that are currently working in every office that is instru-mented with sensors. ... Applying the appropriate local filtering ofevents and a hysteresis mechanism
  10. SociableSense: Exploring the Trade-offs of AdaptiveSampling and…

    https://mobile-systems.cl.cam.ac.uk/papers/mobicom2011.pdf
    9 Jul 2011: Smart phones can prove invaluable for the long term andcontinuous monitoring of people in their environment. ... D has shared his interactionswith two people in the network, whereas E has connectedonly to one person.
  11. Track Globally, Deliver Locally: Improving Content DeliveryNetworks…

    https://mobile-systems.cl.cam.ac.uk/papers/www2011.pdf
    31 Jan 2011: On the other hand, content may become popular be-cause people share it and talk about it, leading to some sortof viral spreading along social connections. ... On the other hand, the georange allows us tounderstand how close the initiator of a cascade is

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