Now showing items 46-48 of 1217

    • 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 ...
    • Statistical Models for Co-occurrence Data 

      Hofmann, Thomas; Puzicha, Jan (1998-02-01)
      Modeling and predicting co-occurrences of events is a fundamental problem of unsupervised learning. In this contribution we develop a statistical framework for analyzing co-occurrence data in a general setting where ...