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Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Title

Research and Teaching Output of the MIT Community

Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Title

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  • Grimson, Eric; Wang, Xiaogang; Ng, Gee-Wah; Ma, Keng Teck (2008-06-24)
    We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, in an unsupervised way. In our approach, ...
  • An, Chae Hun (1986-09-01)
    Using the MIT Serial Link Direct Drive Arm as the main experimental device, various issues in trajectory and force control of manipulators were studied in this thesis. Since accurate modeling is important for any ...
  • Richards, Whitman; Koenderink, Jan J. (1993-12-01)
    Trajectory Mapping "TM'' is a new scaling technique designed to recover the parameterizations, axes, and paths used to traverse a feature space. Unlike Multidimensional Scaling (MDS), there is no assumption that the ...
  • Donald, B. Randall; Canny, J. Francis (MIT Artificial Intelligence Laboratory, 1986-03)
    Research in artificial intelligence has yet to satisfactorily address the primordial fissure between human consciousness and the material order. How is this split reconciled in terms of human reality? By what duality is ...
  • Agarwal, Shivani (2008-08-07)
    In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or ordering over the object space. We consider the ...
  • Urtasun, Raquel; Quattoni, Ariadna; Darrell, Trevor (2007-11-06)
    When a series of problems are related, representations derived fromlearning earlier tasks may be useful in solving later problems. Inthis paper we propose a novel approach to transfer learning withlow-dimensional, non-linear ...
  • Quattoni, Ariadna; Collins, Michael; Darrell, Trevor (2008-03-03)
    To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful.  We develop a new method for transfer learning which exploits available unlabeled ...
  • Urtasun, Raquel; Quattoni, Ariadna; Lawrence, Neil; Darrell, Trevor (2008-04-11)
    When a series of problems are related, representations derived from learning earlier tasks may be useful in solving later problems. In this paper we propose a novel approach to transfer learning with low-dimensional, ...
  • Borchardt, Gary C. (1990-11-01)
    Informal causal descriptions of physical systems abound in sources such as encyclopedias, reports and user's manuals. Yet these descriptions remain largely opaque to computer processing. This paper proposes a ...
  • Dill, Marcus; Edelman, Shimon (1997-06-01)
    Human object recognition is generally considered to tolerate changes of the stimulus position in the visual field. A number of recent studies, however, have cast doubt on the completeness of translation invariance. In a ...
  • Rozas, Guillermo J. (1993-10-01)
    This report introduces TRANSLUCENT PROCEDURES as a new mechanism for implementing behavioral abstractions. Like an ordinary procedure, a translucent procedure can be invoked, and thus provides an obvious way to capture ...
  • Millonas, Mark M.; Rauch, Erik M. (1999-09-28)
    The Turing mechanism for the production of a broken spatial symmetry in an initially homogeneous system of reacting and diffusing substances has attracted much interest as a potential model for certain aspects of ...
  • Stefanescu, Dan (MIT Artificial Intelligence Laboratory, 1975-07)
  • Weitzner, Daniel J.; Abelson, Harold; Berners-Lee, Tim; Hanson, Chris; Hendler, James; Kagal, Lalana; McGuinness, Deborah L.; Sussman, Gerald Jay; Waterman, K. Krasnow (2006-01-27)
    Attempts to address issues of personal privacy in a world of computerized databases and information networks -- from security technology to data protection regulation to Fourth Amendment law jurisprudence -- typically ...
  • Choi, Myung Jin; Lim, Joseph J.; Torralba, Antonio; Willsky, Alan S. (2010-10-29)
    There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context model can rule out some unlikely combinations ...
  • Meila, Marina; Jordan, Michael I. (1997-03-01)
    When triangulating a belief network we aim to obtain a junction tree of minimum state space. Searching for the optimal triangulation can be cast as a search over all the permutations of the network's vaeriables. Our ...
  • McLaughlin, James R. (MIT Artificial Intelligence Laboratory, 1982-06)
    Currently, it is difficult for a non-programmer to generate a complex sensor-based robotic program. Most robot programming methods either generate only very simple programs or are such that they are only useful to programmers. ...
  • Doyle, Jon (1979-06-01)
    To choose their actions, reasoning programs must be able to make assumptions and subsequently revise their beliefs when discoveries contradict these assumptions. The Truth Maintenance System (TMS) is a problem solver ...
  • Doyle, Jon (1978-01-01)
    The thesis developed here is that reasoning programs which take care to record the logical justifications for program beliefs can apply several powerful, but simple, domain-independent algorithms to (1) maintain the ...
  • diSessa, Andy (1975-12-01)
    Since the LOGO Turtle took his first step he has been mathematically confined to running around on flat surfaces. Fortunately the physically intuitive, procedurally oriented nature of the Turtle which makes him a ...
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