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Browsing AI Memos (1959 - 2004) by Title

Research and Teaching Output of the MIT Community

Browsing AI Memos (1959 - 2004) by Title

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  • Kleer, Johan de; Doyle, Jon; Steele, Guy L., Jr.; Sussman, Gerald Jay (1977-06-01)
    The construction of expert problem-solving systems requires the development of techniques for using modular representations of knowledge without encountering combinatorial explosions in the solution effort. This report ...
  • Katz, Boris; Levin, Beth (1988-04-01)
    This paper presents the lexical component of the START Question Answering system developed at the MIT Artificial Intelligence Laboratory. START is able to interpret correctly a wide range of semantic relationships associated ...
  • Huttenlocher, Daniel P. (1985-10-01)
    Machine recognition of spoken language requires developing more robust recognition algorithms. The current paper extends the work of Shipman and Zue by investigating the power of partial phonetic descriptions. First ...
  • Surati, Rajeev (1994-05-01)
    We describe the key role played by partial evaluation in the Supercomputing Toolkit, a parallel computing system for scientific applications that effectively exploits the vast amount of parallelism exposed by partial ...
  • Berlin, Andrew A.; Surati, Rajeev J. (1993-04-01)
    We describe an approach to parallel compilation that seeks to harness the vast amount of fine-grain parallelism that is exposed through partial evaluation of numerically-intensive scientific programs. We have constructed ...
  • Melchiorri, Claudio; Salisbury, J.K. (1990-10-01)
    In this report, a method for exploiting the redundancy of a hand-arm mechanical system for manipulation tasks is illustrated. The basic idea is to try to exploit the different intrinsic capabilities of the arm and hand ...
  • Meuleau, Nicolas; Peshkin, Leonid; Kim, Kee-Eung (2001-04-03)
    Gradient-based policy search is an alternative to value-function-based methods for reinforcement learning in non-Markovian domains. One apparent drawback of policy search is its requirement that all actions be 'on-policy'; ...
  • Sadr, Javid; Sinha, Pawan (2001-03-01)
    We have developed a technique called RISE (Random Image Structure Evolution), by which one may systematically sample continuous paths in a high-dimensional image space. A basic RISE sequence depicts the evolution of an ...
  • Darrell, Trevor; Checka, Neal; Oh, Alice; Morency, Louis-Philippe (2002-01-01)
    The utility of vision-based face tracking for dual pointing tasks is evaluated. We first describe a 3-D face tracking technique based on real-time parametric motion-stereo, which is non-invasive, robust, and self-initialized. ...
  • Roylance, Gerald (1987-11-01)
    The typical subroutines that compute $\\sin(x)$ and $\\exp(x)$ bear little resemblance to our mathematical knowledge of these functions: they are composed of concrete arithmetic expressions that include many mysterious ...
  • Horn, Berthold K.P. (1983-07-01)
    This is a primer on extended Gaussian Images. Extended Gaussian Images are useful for representing the shapes of surfaces. They can be computed easily from: 1. Needle maps obtained using photometric stereo, or 2. Depth ...
  • Lawler, Robert W. (1980-07-01)
    Mathematics is much more than the manipulation of numbers. At its best, it involves simple, clear examples of thought so apt to the world we live in that those examples provide guidance for our thinking about problems ...
  • Rattner, Martin (1970-07-01)
    Adolfo Guzman's SEE program groups the regions of a two-dimensional scene into bodies, using, using local evidence in the scene to link regions together. This paper discusses an extended version of the SEE procedure that ...
  • Poggio, Tomaso; Girosi, Federico (1990-04-01)
    The theory developed in Poggio and Girosi (1989) shows the equivalence between regularization and a class of three-layer networks that we call regularization networks or Hyper Basis Functions. These networks are also ...
  • Girosi, Federico; Poggio, Tomaso; Caprile, Bruno (1990-07-01)
    Learning an input-output mapping from a set of examples can be regarded as synthesizing an approximation of a multi-dimensional function. From this point of view, this form of learning is closely related to regularization ...
  • Zhao, Feng (1991-03-01)
    We develop a qualitative method for understanding and representing phase space structures of complex systems and demonstrate the method with a program, MAPS --- Modeler and Analyzer for Phase Spaces, using deep domain ...
  • Yip, Kenneth Man-Kam (1987-03-01)
    The Phase Space is a powerful tool for representing and reasoning about the qualitative behavior of nonlinear dynamical systems. Significant physical phenomena of the dynamical system---periodicity, recurrence, stability ...
  • Alter, T.D.; Basri, Ronen (1995-08-01)
    The Saliency Network proposed by Shashua and Ullman is a well-known approach to the problem of extracting salient curves from images while performing gap completion. This paper analyzes the Saliency Network. The ...
  • Prazdny, K.F.; Brady, Mike (1980-05-01)
    When a moving dot, which is tracked by the eyes and enclosed in a moving framework, suddenly stops while the enclosing framework continues its motion, the dot is seen to describe a curved path. This illusion can be ...
  • Brady, Michael; Yuille, Alan (1983-06-01)
    An extremum principle is developed that determines three-dimensional surface orientation from a two-dimensional contour. The principle maximizes the ratio of the area to the square of the perimeter, a measure of the ...
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