Now showing items 340-342 of 1835

    • Estimating Dependency Structure as a Hidden Variable 

      Meila, Marina; Jordan, Michael I.; Morris, Quaid (1998-09-01)
      This paper introduces a probability model, the mixture of trees that can account for sparse, dynamically changing dependence relationships. We present a family of efficient algorithms that use EM and the Minimum Spanning ...
    • Sparse Correlation Kernel Analysis and Reconstruction 

      Papgeorgiou, Constantine P.; Girosi, Federico; Poggio, Tomaso (1998-05-01)
      This paper presents a new paradigm for signal reconstruction and superresolution, Correlation Kernel Analysis (CKA), that is based on the selection of a sparse set of bases from a large dictionary of class- specific basis ...
    • Notes on PCA, Regularization, Sparsity and Support Vector Machines 

      Poggio, Tomaso; Girosi, Federico (1998-05-01)
      We derive a new representation for a function as a linear combination of local correlation kernels at optimal sparse locations and discuss its relation to PCA, regularization, sparsity principles and Support Vector Machines. ...