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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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  • Hollerbach, John M.; Suh, Ki C. (1986-01-01)
    Methods for resolving kinematic redundancies of manipulators by the effect on joint torque are examined. When the generalized inverse is formulated in terms of accelerations and incorporated into the dynamics, the ...
  • Flynn, Anita M. (1985-09-01)
    Redundant sensors are needed on a mobile robot so that the accuracy with which it perceives its surroundings can be increased. Sonar and infrared sensors are used here in tandem, each compensating for deficiencies in ...
  • Abadi, Daniel J.; Madden, Samuel R. (2004-03-22)
    This paper presents an algorithm for handling many types of filters insensor networks that cannot be expressed using a simple predicate.Specifically, the action of the filter may be predicated on sensor produceddata where ...
  • McIntosh, Harold V. (1968-01-01)
    REEX is a CONVERT program, realized in the CTSS-LISP of Project Mac, for carrying out the McNaughton-Yamada analysis algorithm, whereby a regular expression is found describing the words accepted by a finite state machine ...
  • Kiezun, Adam; Ernst, Michael D.; Tip, Frank; Fuhrer, Robert M. (2006-09-05)
    Type safety and expressiveness of many existing Java libraries and theirclient applications would improve, if the libraries were upgraded to definegeneric classes. Efficient and accurate tools exist to assist clientapplications ...
  • Ernst, Michael D.; Marrero, John; Dig, Danny (2008-09-30)
    Parallelizing existing sequential programs to run efficiently on multicores is hard. The Java 5 packagejava.util.concurrent (j.u.c.) supports writing concurrent programs: much of the complexity of writing threads-safe and ...
  • Woodham, Robert J. (1978-06-01)
    This report explores the relation between image intensity and object shape. It is shown that image intensity is related to surface orientation and that a variation in image intensity is related to surface curvature. ...
  • Clemens, David T. (1991-06-01)
    In model-based vision, there are a huge number of possible ways to match model features to image features. In addition to model shape constraints, there are important match-independent constraints that can efficiently ...
  • Mroueh, Youssef; Poggio, Tomaso; Rosasco, Lorenzo (2011-06-03)
    In this work we discuss a regularization framework to solve multi-category when the classes are described by an underlying class taxonomy. In particular we discuss how to learn the class taxonomy while learning a multi-category ...
  • Verri, Alessandro; Poggio, Tomaso (1986-09-01)
    Many problems of early vision are ill-posed; to recover unique stable solutions regularization techniques can be used. These techniques lead to meaningful results, provided that solutions belong to suitable compact ...
  • Wolf, Lior; Martin, Ian (2004-11-12)
    In this paper, we present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of the original data. The motivation is that since the learning algorithm lacks information about ...
  • Poggio, Tomaso; Voorhees, Harry; Yuille, Alan (1985-04-01)
    We consider edge detection as the problem of measuring and localizing changes of light intensity in the image. As discussed by Torre and Poggio (1984), edge detection, when defined in this way, is an ill-posed problem ...
  • Bawden, Alan (1988-06-01)
    Constructing self-referential systems, such as Brian Smith's 3-Lisp language, is actually more straightforward than you think. Anyone can build an infinite tower of processors (where each processor implements the ...
  • Steinbach, Carl (2002-05-01)
    We describe an adaptive, mid-level approach to the wireless device power management problem. Our approach is based on reinforcement learning, a machine learning framework for autonomous agents. We describe how our ...
  • Peshkin, Leonid (2003-02-14)
    One objective of artificial intelligence is to model the behavior of an intelligent agent interacting with its environment. The environment's transformations can be modeled as a Markov chain, whose state is partially ...
  • Wu, Eugene; Madden, Samuel; Zhang, Yang; Jones, Evan; Curino, Carlo (2010-03-14)
    In this paper, we make the case for â databases as a serviceâ (DaaS), with two target scenarios in mind: (i) consolidation of data management functionality for large organizations and (ii) outsourcing data management ...
  • Gardiol, Natalia Hernandez (2007-12-31)
    This thesis proposes a synthesis of logic and probability for solving stochastic sequential decision-making problems. We address two main questions: How can we take advantage of logical structure to speed up planning in a ...
  • Zucker, Steven W.; Stevens, Kent A.; Sander, Peter T. (1982-05-01)
    The Gestalt studies demonstrated the tendency to visually organize dots on the basis of similarity, proximity, and global properties such as closure, good continuation, and symmetry. The particular organization imposed ...
  • Shashua, Ammon; Navab, Nassir (1994-06-01)
    We propose an affine framework for perspective views, captured by a single extremely simple equation based on a viewer-centered invariant we call "relative affine structure". Via a number of corollaries of our main ...
  • Jarudi, Izzat N.; Sinha, Pawan (2003-03-01)
    The central challenge in face recognition lies in understanding the role different facial features play in our judgments of identity. Notable in this regard are the relative contributions of the internal (eyes, nose and ...
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