Artificial Intelligence Lab Publications: Recent submissions

Now showing items 403-405 of 1835

    • Factorial Hidden Markov Models 

      Ghahramani, Zoubin; Jordan, Michael I. (1996-02-09)
      We present a framework for learning in hidden Markov models with distributed state representations. Within this framework, we derive a learning algorithm based on the Expectation--Maximization (EM) procedure for maximum ...

    • Model-Based Matching of Line Drawings by Linear Combinations of Prototypes 

      Jones, Michael J.; Poggio, Tomaso (1996-01-18)
      We describe a technique for finding pixelwise correspondences between two images by using models of objects of the same class to guide the search. The object models are 'learned' from example images (also called ...

    • Neural Networks 

      Jordan, Michael I.; Bishop, Christopher M. (1996-03-13)
      We present an overview of current research on artificial neural networks, emphasizing a statistical perspective. We view neural networks as parameterized graphs that make probabilistic assumptions about data, and view ...