November 01, 2018

Adaptive Step-size Iterative Algorithm for Sparse Signal Recovery

  • Yuan X.

We develop the variational Bayesian plus Euclidean projection (VB-EP) algorithm for sparse signal recovery from compressed measurements. This algorithm is formulated as an iteratively alternating projection strategy. The first step projects the measurements/residuals to the signal level, which is implemented via a Bayesian model; the second step projects the results obtained in the first step to the ell_1-ball to impose sparsity. These two steps are performed iteratively until some criterion is satisfied. The algorithm can infer the step size with variational Bayesian approach in each iteration. We further derive a maximum likelihood estimator of the Bayesian model to speed up the inference with fixed step size. Simulation results verify the superior performance of the proposed algorithm.

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Recent Publications

January 01, 2019

Friendly, appealing or both? Characterising user experience in sponsored search landing pages

  • Bron M.
  • Chute M.
  • Evans H.
  • Lalmas M.
  • Redi M.
  • Silvestri F.

© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License. Many of today's websites have recognised the importance of mobile friendly pages to keep users engaged and to provide a satisfying user experience. However, next to the experience provided by the sites themselves, ...

January 01, 2019

Analyzing uber's ride-sharing economy

  • Aiello L.
  • Djuric N.
  • Grbovic M.
  • Kooti F.
  • Lerman K.
  • Radosavljevic V.

© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License. Uber is a popular ride-sharing application that matches people who need a ride (or riders) with drivers who are willing to provide it using their personal vehicles. Despite its growing popularity, there exist ...

January 01, 2019

The paradigm-shift of social spambots: Evidence, theories, and tools for the arms race

  • Cresci S.
  • Petrocchi M.
  • Pietro R.
  • Spognardi A.
  • Tesconi M.

© 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License. Recent studies in social media spam and automation provide anecdotal argumentation of the rise of a new generation of spambots, so-called social spambots. Here, for the first time, we extensively study this novel ...