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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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  • Heisele, Bernd; Poggio, Tomaso; Pontil, Massimiliano (2000-05-01)
    We present a trainable system for detecting frontal and near-frontal views of faces in still gray images using Support Vector Machines (SVMs). We first consider the problem of detecting the whole face pattern by a single ...
  • Riesenhuber; Jarudi; Gilad; Sinha (2004-03-05)
    Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone ...
  • Riesenhuber; Jarudi; Gilad; Sinha (2004-03-05)
    Understanding how the human visual system recognizes objects is one of the key challenges in neuroscience. Inspired by a large body of physiological evidence (Felleman and Van Essen, 1991; Hubel and Wiesel, 1962; Livingstone ...
  • Beymer, David; Poggio, Tomaso (1995-09-01)
    If we are provided a face database with only one example view per person, is it possible to recognize new views of them under a variety of different poses, especially views rotated in depth from the original example ...
  • Beymer, David J. (1993-12-01)
    While researchers in computer vision and pattern recognition have worked on automatic techniques for recognizing faces for the last 20 years, most systems specialize on frontal views of the face. We present a face recognizer ...
  • Rosen, Ezra (2003-06-05)
    The face inversion effect has been widely documented as an effect of the uniqueness of face processing. Using a computational model, we show that the face inversion effect is a byproduct of expertise with respect to the ...
  • Tan, Cheston; Poggio, Tomaso (2013-03-18)
    Visual recognition is an important ability that is central to many everyday tasks such as reading, navigation and social interaction, and is therefore actively studied in neuroscience, cognitive psychology and artificial ...
  • Ghahramani, Zoubin; Jordan, Michael I. (1996-02-09)
    We present a framework for learning in hidden Markov models with distributed state representations. Within this framework, we derive a learning algorithm based on the Expectation--Maximization (EM) procedure for maximum ...
  • Ehrmann, Stephen C.; Gilbert, Steven W.; McMartin, Flora (2007-08-20)
    Initiated in 1999, iCampus is a research collaboration between Microsoft Research and MIT whose goal is to create and demonstrate technologies with the potential for revolutionary change throughout the university curriculum.” ...
  • Ehrmann, Stephen C.; Gilbert, Steven W.; McMartin, Flora; Abelson, Harold; Long, Philip D. (2007-10-20)
    Instruction in higher education must adapt more rapidly to: changes in workforce needs, global issues, advances in disciplines, and resource constraints. The pace of such improvement depends on the speed with which new ...
  • Horn, Berthold K.P. (MIT Artificial Intelligence Laboratory, 1975-05)
    This is a random collection of facts about radiant and luminous energy. Some of this information may be useful in the design of photo-diode image sensors, in the set-up of lighting for television microscopes and the ...
  • Clinger, Will (MIT Artificial Intelligence Laboratory, 1979-06)
    Actor-based languages feature extreme concurrency, allow side effects, and specify a form of fairness which permits unbounded nondeterminism. This makes it difficult to provide a satisfactory mathematical foundation for ...
  • Horn, Berthold K.P. (1977-11-01)
    In a previous paper a technique was developed for finding reconstruction algorithms for arbitrary ray-sampling schemes. The resulting algorithms use a general linear operator, the kernel of which depends on the details ...
  • Paris, Sylvain; Hasinoff, Samuel W.; Kautz, Jan; Aubry, Mathieu; Durand, Frédo (2011-11-15)
    Multi-scale manipulations are central to image editing but they are also prone to halos. Achieving artifact-free results requires sophisticated edgeaware techniques and careful parameter tuning. These shortcomings were ...
  • Steele, Guy Lewis, Jr. (1977-09-01)
    MacLISP provides a compiler which produces numerical code competitive in speed with some FORTRAN implementations and yet compatible with the rest of the MacLISP system. All numerical programs can be run under MacLISP ...
  • Brooks, Rodney A.; Flynn, Anita M. (1989-12-01)
    Spur-of-the-moment planetary exploration missions are within our reach. Complex systems and complex missions usually take years of planning and force launches to become incredibly expensive. We argue here for cheap, ...
  • Yeh, Tom; Lee, John J.; Darrell, Trevor (2008-06-10)
    Object localization and classification are important problems incomputer vision. However, in many applications, exhaustive searchover all class labels and image locations is computationallyprohibitive. While several methods ...
  • Grauman, Kristen; Darrell, Trevor (2003-12-05)
    Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost of matching features from one shape to the features ...
  • Grauman, Kristen; Darrell, Trevor (2003-12-05)
    Weighted graph matching is a good way to align a pair of shapesrepresented by a set of descriptive local features; the set ofcorrespondences produced by the minimum cost of matching features fromone shape to the features ...
  • Jaakkola, Tommi S.; Saul, Lawrence K.; Jordan, Michael I. (1996-02-09)
    Sigmoid type belief networks, a class of probabilistic neural networks, provide a natural framework for compactly representing probabilistic information in a variety of unsupervised and supervised learning problems. ...
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