Now showing items 406-408 of 1835

    • Probabilistic Independence Networks for Hidden Markov Probability Models 

      Smyth, Padhraic; Heckerman, David; Jordan, Michael (1996-03-13)
      Graphical techniques for modeling the dependencies of randomvariables have been explored in a variety of different areas includingstatistics, statistical physics, artificial intelligence, speech recognition, image ...
    • Learning Linear, Sparse, Factorial Codes 

      Olshausen, Bruno A. (1996-12-01)
      In previous work (Olshausen & Field 1996), an algorithm was described for learning linear sparse codes which, when trained on natural images, produces a set of basis functions that are spatially localized, oriented, ...
    • Model-Based Matching by Linear Combinations of Prototypes 

      Jones, Michael J.; Poggio, Tomaso (1996-12-01)
      We describe a method for modeling object classes (such as faces) using 2D example images and an algorithm for matching a model to a novel image. The object class models are "learned'' from example images that we call ...