OpenBU

Browsing College of Arts and Sciences by Title

OpenBU

Browsing College of Arts and Sciences by Title

Sort by: Order: Results:

  • Carpenter, Gail A.; Ravindran, Arun K. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009)
    SyNAPSE program of the Defense Advanced Projects Research Agency (HRL Laboratories LLC, subcontract #801881-BS under DARPA prime contract HR0011-09-C-0001); CELEST, a National Science Foundation Science of Learning Center ...
  • Heideman, Paul D; Utzurrum, Ruth CB (BioMed Central, 2003-11-21)
    BACKGROUND. Differences among species and among years in reproductive seasonality (the tendency for clusters of events to fall at approximately the same point in each year) and synchrony (amount of clustering of events ...
  • Gao, Yang; Wolf, Lauren K.; Georgiadis, Rosina M. (2006)
    The hybridization kinetics for a series of designed 25mer probe�target pairs having varying degrees of secondary structure have been measured by UV absorbance and surface plasmon resonance (SPR) spectroscopy ...
  • Gao, Yang; Wolf, Lauren K.; Georgiadis, Rosina M. (Oxford University Press, 2006-07-05)
    The hybridization kinetics for a series of designed 25mer probe–target pairs having varying degrees of secondary structure have been measured by UV absorbance and surface plasmon resonance (SPR) spectroscopy in solution ...
  • Hacker, Megan; Crovella, Mark; Reyzin, Leonid (Computer Science Department, Boston University, 2012-05-16)
    As mobile devices become increasingly popular, the necessity for both user-friendly and secure pairing methods for these devices also rises. One natural approach to pairing devices is to match them based on a shared ...
  • Byers, John; Cheng, Mei Chin; Considine, Jeffrey; Itkis, Gene; Yeung, Alex (Boston University Computer Science Department, 2002-01-21)
    Content providers often consider the costs of security to be greater than the losses they might incur without it; many view "casual piracy" as their main concern. Our goal is to provide a low cost defense against such ...
  • Esposito, Flavio; Matta, Ibrahim; Michiardi, Pietro; Mitsutake, Nobuyuki; Carra, Damiano (Boston University Computer Science Department, 2009-03-26)
    The initial phase in a content distribution (file sharing) scenario is a delicate phase due to the lack of global knowledge and the dynamics of the overlay. An unwise distribution of the pieces in this phase can cause ...
  • Carpenter, Gail A.; Wilson, Frank D. M. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-05)
    The Segmentation ATIT (Adaptive Resonance Theory) network for word recognition from a continuous speech stream is introduced. An input sequeuce represents phonemes detected at a preproccesing stage. Segmentation ATIT is ...
  • Zhong, Jing; Sclaroff, Stan (Boston University Computer Science Department, 2003-07-18)
    The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given time-varying, textured backgrounds. Examples of time-varying backgrounds include waves on water, clouds moving, ...
  • Lombardi, Jonathan; Betke, Margrit (Boston University Computer Science Department, 2002)
    We designed the Eyebrow-Clicker, a camera-based human computer interface system that implements a new form of binary switch. When the user raises his or her eyebrows, the binary switch is activated and a selection command ...
  • Grunewald, Alexander; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-10)
    This article develops a neural model of how sharp disparity tuning can arise through experience-dependent development of cortical complex cells. This learning process clarifies how complex cells can binocularly match left ...
  • Williamson, James R. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-10)
    This paper proposes a biologically-motivated neural network model of supervised learning. The model possesses two novel learning mechanisms. The first is a network for learning topographic mixtures. The network's internal ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-04)
    Because "people create features to subserve the representation and categorization of objects" (p. 3), the authors "provide an account of feature learning in which the components of a representation have close ties to the ...
  • Mannes, Christian (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-03)
    This paper presents a self-organizing, real-time, hierarchical neural network model of sequential processing, and shows how it can be used to induce recognition codes corresponding to word categories and elementary grammatical ...
  • Carpenter, Gail; Martens, Siegfried; Ogas, Ogi (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-01)
    Classifying novel terrain or objects front sparse, complex data may require the resolution of conflicting information from sensors working at different times, locations, and scales, and from sources with different goals ...
  • Carpenter, Gail; Martens, Siegfried (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2005-01)
    Classifying terrain or objects may require the resolution of conflicting information from sensors working at different times, locations, and scales, and from users with different goals and situations. Current fusion methods ...
  • Carpenter, Gail; Martens, Siegfried; Ogas, Ogi (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-12)
    Classifying novel terrain or objects from sparse, complex data may require the resolution of conflicting information from sensors woring at different times, locations, and scales, and from sources with different goals and ...
  • Guenther, Frank H. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    This paper describes a model of speech production called DIVA that highlights issues of self-organization and motor equivalent production of phonological units. The model uses a circular reaction strategy to learn two ...
  • Bullock, Daniel; Grossberg, Stephen; Guenther, Frank H. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-12)
    This paper describes a self-organizing neural model for eye-hand coordination. Called the DIRECT model, it embodies a solution of the classical motor equivalence problem. Motor equivalence computations allow humans and ...
  • Cameron, Seth; Grossberg, Stephen; Guenther, Frank H. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-12)
    This paper describes a self-organizing neural network architecture that transforms optic now information into representations of heading, scene depth, and moving object locations. These representations are used to reactively ...

Search OpenBU


Browse

Deposit Materials

Statistics