Now showing items 226-228 of 291

    • Functions and Frames in the Learning of Structures 

      Freiling, Michael J. (MIT Artificial Intelligence Laboratory, 1973-12)
      This paper discusses methods for enhancing the learning abilities of the Winston program, first by representing functional properties of the objects considered, and secondly by embedding individual models in a hierarchically ...
    • A Hypothesis-Frame System for Recognition Problems 

      Fahlman, Scott E. (MIT Artificial Intelligence Laboratory, 1973-12)
      This paper proposes a new approach to a broad class of recognition problems ranging from medical diagnosis to vision. The features of this approach include a top-down hypothesize-and-test style and the use of a great deal ...
    • Circular Scan 

      Winston, Patrick H.; Lerman, Jerome B. (MIT Artificial Intelligence Laboratory, 1972-03)
      Previous feature point detectors have been local in their support and have been universally designed for objects without appreciable texture. We have invented (or perhaps reinvented) a scheme using correlation between ...