Advanced Search
DSpace@MIT

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

Sort by: Order: Results:

  • Battaglia, Peter W. (2010-09-21)
    The aim of this paper is to provide perceptual scientists with a quantitative framework for modeling a variety of common perceptual behaviors, and to unify various perceptual inference tasks by exposing their common ...
  • Kaess, Michael; Dellaert, Frank; Roberts, Richard; Ila, Viorela (2010-01-29)
    In this paper we present a novel data structure, the Bayes tree, which exploits the connections between graphical model inference and sparse linear algebra. The proposed data structure provides a new perspective on an ...
  • Connell, Jonathan H. (1988-06-01)
    In this paper we describe a working, implemented controller for a real, physical mobile robot arm. The controller is composed of a collection of 15 independent behaviors which run, in real time, on a set of 8 loosely coupled ...
  • Brooks, Rodney A. (1990-04-01)
    The Behavior Language is a rule-based real-time parallel robot programming language originally based on ideas from [Brooks 86], [Connell 89], and [Maes 89]. It compiles into a modified and extended version of the ...
  • Weiss, Yair (1997-11-01)
    Local belief propagation rules of the sort proposed by Pearl(1988) are guaranteed to converge to the optimal beliefs for singly connected networks. Recently, a number of researchers have empirically demonstrated good ...
  • Judd, Tilke; Durand, Frédo; Torralba, Antonio (2012-01-13)
    Many computational models of visual attention have been created from a wide variety of different approaches to predict where people look in images. Each model is usually introduced by demonstrating performances on new ...
  • Woo, Grace Rusi; Kheradpour, Pouya; Katabi, Dina (2007-05-29)
    Wireless networks can suffer from high packet loss rates. This paper shows that the loss rate can be significantly reduced by exposing information readily available at the physical layer. We make the physical layer convey ...
  • Abelson, Harold (1989-09-01)
    The Bifurcation Interpreter is a computer program that autonomously explores the steady-state orbits of one-parameter families of periodically- driven oscillators. To report its findings, the Interpreter generates ...
  • Hassanieh, Haitham; Shi, Lixin; Abari, Omid; Hamed, Ezzeldine; Katabi, Dina (2013-05-22)
    The goal of this paper is to make sensing and decoding GHz of spectrum simple, cheap, and low power. Our thesis is simple: if we can build a technology that captures GHz of spectrum using commodity Wi-Fi radios, it will ...
  • Horn, Berthold K.P. (MIT Artificial Intelligence Laboratory, 1971-07)
    This paper briefly describes the processing performed in the course of producing a line drawing from vidisector information.
  • Horn, Berthold K.P. (1973-12-01)
    This paper briefly describes the processing performed in the course of producing a line drawing from an image obtained through an image dissector camera. The edge-marking pahse uses a non-linear parallel line-follower. ...
  • Scassellati, Brian (1998-03-01)
    This report documents the design and implementation of a binocular, foveated active vision system as part of the Cog project at the MIT Artificial Intelligence Laboratory. The active vision system features a three degree ...
  • Grimson, W.E.L. (1982-08-01)
    Zero-crossing or feature-point based stereo algorithms can, by definition, determine explicit depth information only at particular points on the image. To compute a complete surface description, this sparse depth map ...
  • Goler, Jonathan A. (2004-05-28)
    The next generations of both biological engineering and computer engineering demand that control be exerted at the molecular level. Creating, characterizing and controlling synthetic biological systems may provide us ...
  • Goler, Jonathan A. (2004-05-28)
    The next generations of both biological engineering and computer engineering demand that control be exerted at the molecular level. Creating, characterizing and controlling synthetic biological systems may provide us with ...
  • Beal, Jacob; Sussman, Gerald (2005-01-18)
    Inspired by the robustness and flexibility of biological systems, we are developing linguistic and programming tools to allow us to program spatial systems populated by vast numbers of unreliable components interconnected ...
  • Yu, Angela J.; Giese, Martin A.; Poggio, Tomaso A. (2001-09-01)
    Object recognition in the visual cortex is based on a hierarchical architecture, in which specialized brain regions along the ventral pathway extract object features of increasing levels of complexity, accompanied by greater ...
  • Giese, Martin Alexander; Poggio, Tomaso (2002-08-01)
    The visual recognition of complex movements and actions is crucial for communication and survival in many species. Remarkable sensitivity and robustness of biological motion perception have been demonstrated in ...
  • Louie, Jennifer (2003-06-01)
    Previous biological models of object recognition in cortex have been evaluated using idealized scenes and have hard-coded features, such as the HMAX model by Riesenhuber and Poggio [10]. Because HMAX uses the same set ...
  • Koch, Christof; Poggio, Tomaso (1984-10-01)
    Synapses, membranes and neurotransmitters play an important role in processing information in the nervous system. We do not know, however, what biophysical mechanisms are critical for neuronal computations, what ...
MIT-Mirage