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A design of measurement matrices of satisfying the incoherence criterion or Restricted Isometry Rroperty is among the core issues of compressed sensing theory. Whether there is an optimal determinate measurement matrix for some stable reconfiguration algorithms is one of the key problems which need to be solved urgently in compressed sensing. For the fixed(More)
Pseudo-relevance feedback (PRF) is an effective technique to improve the ad-hoc retrieval performance. For PRF methods, how to optimize the balance parameter between the original query model and feedback model is an important but difficult problem. Traditionally, the balance parameter is often manually tested and set to a fixed value across collections and(More)
Pseudo-relevance feedback (PRF) is an effective technique to improve the ad-hoc retrieval performance. For PRF methods, how to optimize the balance parameter between the original query model and feedback model is an important but difficult problem. Traditionally, the balance parameter is often manually tested and set to a fixed value across collections and(More)
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