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    • Random projections for support vector machines 

      Paul, Saurabh (Rensselaer Polytechnic Institute, Troy, NY, 2012-12)
      Let X ∈ R n×d be a data matrix of rank ρ, representing n points in R d . The linear support vector machine constructs a hyperplane separator that maximizes the 1-norm soft margin. We develop a new oblivious dimension ...