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Browsing College of Arts and Sciences by Title

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  • Yuan, Quan; Thangali, Ashwin; Sclaroff, Stan (Boston University Computer Science Department, 2005-06-10)
    Nearest neighbor search is commonly employed in face recognition but it does not scale well to large dataset sizes. A strategy to combine rejection classifiers into a cascade for face identification is proposed in this ...
  • Castelli, Thomas J.; Betke, Margrit; Neidle, Carol (Boston University Computer Science Department, 2005-07-07)
    Facial features play an important role in expressing grammatical information in signed languages, including American Sign Language(ASL). Gestures such as raising or furrowing the eyebrows are key indicators of constructions ...
  • Amtoft, Torben; Turbak, Franklyn (Boston University Computer Science Department, 2000-01-10)
    Recent work has shown equivalences between various type systems and flow logics. Ideally, the translations upon which such equivalences are based should be faithful in the sense that information is not lost in round-trip ...
  • Granger, Eric; Grossberg, Stephen; Rubin, Mark; Streilein, William (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-07)
    The ARTMAP-FD neural network performs both identification (placing test patterns in classes encountered during training) and familiarity discrimination (judging whether a test pattern belongs to any of the classes encountered ...
  • Rubin, Mark (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-02)
    We obtain a bound on the expected error rate of the fuzzy ARTMAP neural network employed as a classifier. This bound is based on leave-one-out estimation of the classification error, and is analogous to a bound on the ...
  • Byers, John; Considine, Jeffrey; Mitzenmacher, Michael (Boston University Computer Science Department, 2002)
    We present new, simple, efficient data structures for approximate reconciliation of set differences, a useful standalone primitive for peer-to-peer networks and a natural subroutine in methods for exact reconciliation. In ...
  • Contreras-Vidal, José L.; Aguilar, Mario (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-05)
    A fast and efficient segmentation algorithm based on the Boundary Contour System/Feature Contour System (BCS/FCS) of Grossberg and Mingolla [3] is presented. This implementation is based on the FFT algorithm and the ...
  • Tian, Tai-Peng; Sclaroff, Stan (CS Department, Boston University, 2010-03-31)
    This paper presents an algorithm for recovering the globally optimal 2D human figure detection using a loopy graph model. This is computationally challenging because the time complexity scales exponentially in the size of ...
  • Waber, Benjamin N.; Magee, John J.; Betke, Margrit (Boston University Computer Science Department, 2005-07-07)
    Accurate head tilt detection has a large potential to aid people with disabilities in the use of human-computer interfaces and provide universal access to communication software. We show how it can be utilized to tab through ...
  • Bradski, Gary; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-08-01)
    The recognition of 3-D objects from sequences of their 2-D views is modeled by a family of self-organizing neural architectures, called VIEWNET, that use View Information Encoded With NETworks. VIEWNET incorporates a ...
  • La Casica, Marco; Sclaroff, Stan (Boston University Computer Science Department, 1998-12-04)
    An improved technique for 3D head tracking under varying illumination conditions is proposed. The head is modeled as a texture mapped cylinder. Tracking is formulated as an image registration problem in the cylinder's ...
  • La Casica, Marco; Sclaroff, Stan; Athitsos, Vassilis (Boston University Computer Science Department, )
    An improved technique for 3D head tracking under varying illumination conditions is proposed. The head is modeled as a texture mapped cylinder. Tracking is formulated as an image registration problem in the cylinder's ...
  • Potamias, Michalis; Castillo, Carlos; Francesco, Bonchi; Gionis, Aristides (Boston University Computer Science Department, 2009-03-09)
    We study the problem of preprocessing a large graph so that point-to-point shortest-path queries can be answered very fast. Computing shortest paths is a well studied problem, but exact algorithms do not scale to huge ...
  • Yazdanbakhsh, Arash; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-06-08)
    Perceptual grouping is well-known to be a fundamental process during visual perception, notably grouping across scenic regions that do not receive contrastive visual inputs. Illusory contours are a classical example of ...
  • Willis, Charles G.; Ruhfel, Brad R.; Primack, Richard B.; Miller-Rushing, Abraham J.; Losos, Jonathan B.; Davis, Charles C. (Public Library of Science, 2010-1-26)
    Invasive species have tremendous detrimental ecological and economic impacts. Climate change may exacerbate species invasions across communities if non-native species are better able to respond to climate changes than ...
  • Williamson, James (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-05)
    A model of cortical learning is proposed, which incorporates supervised feedback using two forms of attention: (i) feature-specific attention which allows the network to learn associations between specific feature conjunctions ...
  • Mustafa, Mentor; Young, Antonia (Anthropological Notebooks, 2008)
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-09)
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-02)
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-10)

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