Search (1 results, page 1 of 1)

  • × author_ss:"Fano, A."
  • × theme_ss:"Information"
  1. Schank, R.C.; Fano, A.: Memory and expectations in learning, language, and visual understanding (1995) 0.01
    0.007842129 = product of:
      0.031368516 = sum of:
        0.031368516 = product of:
          0.06273703 = sum of:
            0.06273703 = weight(_text_:aspects in 3882) [ClassicSimilarity], result of:
              0.06273703 = score(doc=3882,freq=2.0), product of:
                0.20938325 = queryWeight, product of:
                  4.5198684 = idf(docFreq=1308, maxDocs=44218)
                  0.046325076 = queryNorm
                0.29962775 = fieldWeight in 3882, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.5198684 = idf(docFreq=1308, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3882)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Abstract
    Research in vision and language has traditionally remained separate, in part because the classic task of generating a representation of a given image or sentence has resulted in an emphasis on low lewel structural aspects of these media. Image and language understanding should be approaches with the intent of facilitating the performance of a task. Under this view research in image and language understanding must confront common issues that arise as a task is pursued. Languages and images are both input that can be used to maintain a model of a task. A model may by maintained by incorporating changes in the scene that can be characterizes at a high level of analysis. Existing task rlevant models and the associated domain knowledge are used to expect specific changes and disambiguate the interpretation of these changes, thereby allowing them to modify the existing model. From this perspective, understanding input is largely independent of the modality of the input