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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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  • Sussman, Gerald Jay; Steel, Guy Lewis, Jr. (1981-08-01)
    We present an interactive system organized around networks of constraints rather than the programs which manipulate them. We describe a language of hierarchical constraint networks. We describe one method of deriving ...
  • Stevens, Kent A. (1979-03-01)
    This article examines the computational problems underlying the 3-D interpretation of surface contours. A surface contour is the image of a curve across a physical surface, such as the edge of a shadow cast across a ...
  • Ikeuchi; Katsushi (1983-08-01)
    This paper describes two methods for constructing a depth map from images. Each method has two stages. First, one or more needle maps are determined using a pair of images. This process employs either the Marr-Poggio-Grimson ...
  • Doyle, Richard J. (MIT Artificial Intelligence Laboratory, 1985-12)
    The competence being investigated is causal modelling, whereby the behavior of a physical system is understood through the creation of an explanation or description of the underlying causal relations. After developing a ...
  • Werfel, Justin; Bar-Yam, Yaneer; Nagpal, Radhika (2005-04-08)
    We describe a system in which simple, identical, autonomous robots assemble two-dimensional structures out of identical building blocks. We show that, in a system divided in this way into mobile units and structural units, ...
  • Banks, Edwin Roger (1970-02-01)
    The construction of optimal decision trees for the problem stated within can be accomplished by an exhaustive enumeration. This paper discusses two approaches. The section on heuristic methods gives mostly negative results ...
  • Eberman, Brian Scott (1995-05-01)
    This paper describes a new statistical, model-based approach to building a contact state observer. The observer uses measurements of the contact force and position, and prior information about the task encoded in a ...
  • Bicchi, Antonio; Salisbury, J. Kenneth; Brock, David L. (1990-10-01)
    This paper addresses contact sensing, i.e. the problem of resolving the location of a contact, the force at the interface and the moment about the contact normals. Called "intrinsic'' contact sensing for the use of ...
  • Siegel, David Mark (1986-06-01)
    This thesis examines a tactile sensor and a thermal sensor for use with the Utah-MIT dexterous four fingered hand. Sensory feedback is critical or full utilization of its advanced manipulatory capabilities. The hand ...
  • Torralba, Antonio; Murphy, Kevin P.; Freeman, William T.; Rubin, Mark A. (2003-03-19)
    While navigating in an environment, a vision system has to be able to recognize where it is and what the main objects in the scene are. In this paper we present a context-based vision system for place and object ...
  • Morency, Louis-Philippe (2006-11-15)
    During face-to-face conversation, people use visual feedback (e.g.,head and eye gesture) to communicate relevant information and tosynchronize rhythm between participants. When recognizing visualfeedback, people often rely ...
  • Torralba, Antonio (2004-04-14)
    This article describes a model for including scene/context priors in attention guidance. In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the ...
  • Torralba, Antonio (2004-04-14)
    This article describes a model for including scene/context priors in attention guidance. In the proposed scheme, visual context information can be available early in the visual processing chain, in order to modulate the ...
  • Torralba, Antonio; Murphy, Kevin P.; Freeman, William T. (2004-06-25)
    We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and local ...
  • Torralba, Antonio; Murphy, Kevin P.; Freeman, William T. (2004-06-25)
    We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and ...
  • Torralba, Antonio; Sinha, Pawan (2001-09-01)
    There is general consensus that context can be a rich source of information about an object's identity, location and scale. In fact, the structure of many real-world scenes is governed by strong configurational rules akin ...
  • Bachrach, Jonathan; Beal, Jacob; Fujiwara, Takeshi (2007-07)
    A spatial computer is a collection of devices filling spacewhose ability to interact is strongly dependent on theirproximity. Previously, we have showed that programmingsuch a computer as a continuous space can allow ...
  • Poggio, Tomaso; Girosi, Federico (1990-12-01)
    Marroquin and Ramirez (1990) have recently discovered a class of discrete stochastic cellular automata with Gibbsian invariant measures that have a non-reversible dynamic behavior. Practical applications include more ...
  • Bachelder, Ivan A. (1992-04-01)
    Partial constraints are often available in visual processing tasks requiring the matching of contours in two images. We propose a non- iterative scheme to determine contour matches using locally affine transformations. ...
  • Bradley, Elizabeth (1991-10-01)
    Control algorithms which exploit the unique properties of chaos can vastly improve the design and performance of many practical and useful systems. The program Perfect Moment is built around such an algorithm. Given ...
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