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

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

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  • Triangulation by Continuous Embedding 
    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 ...
  • TRIG: An Interactive Robotic Teach System 
    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. ...
  • A Truth Maintenance System 
    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 ...
  • Truth Maintenance Systems for Problem Solving 
    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 ...
  • Turtle Escapes the Plane: Some Advanced Turtle Geometry 
    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 ...
  • The TV Turtle: A Logo Graphics System for Raster Displays 
    Lieberman, Henry (1976-06-01)
    Until recently, most computer graphics systems have been oriented toward the display of line drawins, continually refreshing the screen from a display list of vectors. Developments such as plasma panel displays and ...
  • Twenty Things To Do With A Computer 
    Papert, Seymour; Solomon, Cynthia (1971-06-01)
    When people talk about computers in education they do not all have the same image in mind. Some think of using the computer to program the kid; others think of using the kid to program the computer. But most of them have ...
  • Twilight Zones and Cornerstones: A Gnat Robot Double Feature 
    Flynn, Anita M.; Brooks, Rodney A.; Tavrow, Lee S. (1989-07-01)
    We want to build tiny gnat-sized robots, a millimeter or two in diameter. They will be cheap, disposable, totally self-contained autonomous agents able to do useful things in the world. This paper consists of two parts. ...
  • A Two Counter Machine Cannot Calculate 2N 
    Schroeppel, Rich (1972-05-01)
    This note proves that a two counter machine cannot calculate 2N.
  • Two Problems in Analyzing Scenes 
    Finin, Tim (MIT Artificial Intelligence Laboratory, 1971-06)
    This paper is based on a B.S. thesis supervised by Patrick Winston. It deals with some previously unexplored problems in the analysis of visual scenes. The scenes consist of two dimensional line drawings of simple objects ...
  • Two Simple Algorithms For Displaying Orthographic Projections of Surfaces 
    Woodham, Robert J. (MIT Artificial Intelligence Laboratory, 1976-08)
    Two simple algorithms are described for displaying orthographic projections of surfaces. The first, called RELIEF-PLOT, produces a three-dimensional plot of a surface z = f(x,y). The second, called SHADED-IMAGE, adds ...
  • Two-stage Optimization Approach to Robust Model Predictive Control with a Joint Chance Constraint 
    Ono, Masahiro; Williams, Brian C. (2008-03-06)
    When controlling dynamic systems such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster by taking a more challenging path. This paper ...
  • Type-alpha DPLs 
    Arkoudas, Konstantine (2001-10-05)
    This paper introduces Denotational Proof Languages (DPLs). DPLs are languages for presenting, discovering, and checking formal proofs. In particular, in this paper we discus type-alpha DPLs---a simple class of DPLs for ...
  • Type-omega DPLs 
    Arkoudas, Konstantine (2001-10-16)
    Type-omega DPLs (Denotational Proof Languages) are languages for proof presentation and search that offer strong soundness guarantees. LCF-type systems such as HOL offer similar guarantees, but their soundness relies heavily ...
  • TYPICAL: A Knowledge Representation System for Automated Discovery and Inference 
    Haase, Kenneth W., Jr. (1987-08-01)
    TYPICAL is a package for describing and making automatic inferences about a broad class of SCHEME predicate functions. These functions, called types following popular usage, delineate classes of primitive SCHEME ...
  • Ubiquitous Memory Introspection (Preliminary Manuscript) 
    Zhao, Qin; Rabbah, Rodric; Amarasinghe, Saman; Rudolph, Larry; Wong, Weng-Fai (2006-09-25)
    Modern memory systems play a critical role in the performance ofapplications, but a detailed understanding of the application behaviorin the memory system is not trivial to attain. It requires timeconsuming simulations of ...
  • UCM/MIT Indications, Referring Expressions, and Coreference Corpus (UMIREC corpus) 
    Hervas, Raquel; Finlayson, Mark Alan (2010-05-12)
    This version of the UMIREC corpus has been superseded by version 1.1, found at http://hdl.handle.net/1721.1/57507. Please do not use version 1.0, as it contains corrupted coreference information. The correct, uncorrupted ...
  • UCM/MIT Indications, Referring Expressions, and Coreference Corpus (UMIREC corpus) v1.1 
    Finlayson, Mark Alan; Hervas, Raquel (2010-05-12)
    The corpus comprises 62 files in "Story Workbench" annotation format: 30 folktales in English from a variety of sources, and 32 Wall Street Journal articles selected to coincide with articles found in the Penn Treebank. ...
  • Ultra-fast Object Recognition from Few Spikes 
    Hung, Chou; Kreiman, Gabriel; Poggio, Tomaso; DiCarlo, James J. (2005-07-06)
    Understanding the complex brain computations leading to object recognition requires quantitatively characterizing the information represented in inferior temporal cortex (IT), the highest stage of the primate visual stream. ...
  • Uncertainty Propagation in Model-Based Recognition 
    Jacobs, D.W.; Alter, T.D. (1995-02-01)
    Building robust recognition systems requires a careful understanding of the effects of error in sensed features. Error in these image features results in a region of uncertainty in the possible image location of each ...
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