Now showing items 34-36 of 123

    • 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. ...
    • Modeling Invariances in Inferotemporal Cell Tuning 

      Riesenhuber, Maximilian; Poggio, Tomaso (1998-03-01)
      In macaque inferotemporal cortex (IT), neurons have been found to respond selectively to complex shapes while showing broad tuning ("invariance") with respect to stimulus transformations such as translation and scale changes ...