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  2. ase03.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/ase03.pdf
    29 Feb 2008: What new and still more complex constructs can be built from thesame set of basic elements? ... The new model, CODEWEAVE,can be viewed to a large extent as a specialization of Mobile UNITY.
  3. Multimodal Deep Learning for Activity and Context Recognition

    https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2018-radu.pdf
    21 Dec 2017: One key attractionis that available classifiers for each sensor type (tested and verified with other applications) can be readily adoptedto undertake a new task on same sensing modality. ... Convolution layers are typically followed by a Pooling layer,
  4. SociableSense: Exploring the Trade-offs of AdaptiveSampling and…

    https://mobile-systems.cl.cam.ac.uk/papers/mobicom2011.pdf
    9 Jul 2011: Figure 3(b) shows a social network of five nodes.Let us assume that there is a core social network consistingof nodes A, B, and C, and two new persons D
  5. You are Sensing, but are you Biased?A User Unaided Sensor Calibration …

    https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2018-grammenos.pdf
    6 Mar 2018: purposes. Concretely, our intuition stems from the the fact that whilemedian filter does not create new values by averaging existing ones it is less sensitive to outliers (e.g.
  6. aaai17 format (9 March)

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm17poster.pdf
    10 Mar 2017: With an aim to overcome this limitation, researchers have recently started to mine low-cost, real-time, and fine-grained new data sources for socio-economic deprivation study. ... By applying new cultural metrics and traditional network met-rics to the
  7. Monitoring A Large Construction Site Using WirelessSensor Networks…

    https://mobile-systems.cl.cam.ac.uk/papers/realwsn15.pdf
    24 Sep 2015: 3c) shows the new network topology after the addi-tion of relay nodes shown as magenta squares. ... This new application storesdiagnostic data in local non-volatile (flash) memory ratherthan sending this information via lossy links.
  8. black Measuring Interaction Proxemics with Wearable Light Tags

    https://mobile-systems.cl.cam.ac.uk/papers/ubicomp2018-montanari.pdf
    6 Mar 2018: However,the context of tracking interaction proxemics presents three new challenges. We next overview each challengeand our solution.First, accurately identifying the participants in an interaction is challenging. ... The predictionstep produces the
  9. Exploiting Semantic Annotations for Clustering Geographic Areas and…

    https://mobile-systems.cl.cam.ac.uk/papers/SMW11.pdf
    22 Apr 2011: 513,-0.117) for London and(40.764,-73.979) for New York. ... Fingerprinting areas un-der those terms, could help the development of new applica-.
  10. b1spot-gal

    https://mobile-systems.cl.cam.ac.uk/papers/pervasive16.pdf
    4 Jan 2016: Drivers increasingly carrying smartphones, with their plethora of embedded sensors, creates new opportunities for in-car sensing. ... He received a PhD in Computer Science and Engineering from University of New South Wales.
  11. Where Online Friends Meet: Social Communities in Location-based…

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm12poster.pdf
    13 Mar 2012: A new generation of online ser-vices has recently enabled such analysis: location-based so-cial networks are mobile social services built around loca-tion sharing. ... New York,NY, USA: ACM.Backstrom, L.; Sun, E.; and Marlow, C. 2010.

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