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Browsing CAS/CNS Technical Reports by Title

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Browsing CAS/CNS Technical Reports by Title

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  • Grady, Leo; Schwartz, Eric (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-07)
    The combinatorial Dirichlet problem is formulated, and an algorithm for solving it is presented. This provides an effective method for interpolating missing data on weighted graphs of arbitrary connectivity. Image processing ...
  • Chang, Caroilna; Gaudiano, Paolo (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-02)
    We present a neural network that learns to control approach and avoidance behaviors in a mobile robot using the mechanisms of classical and operant conditioning. Learning, which requires no supervision, takes place as the ...
  • Cunningham, Robert K.; Beck, Jacob; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-11)
    Visual search is extended from the domain of polygonal figures presented on a uniform background to scenes in which search is for a photo-realistic object in a dense, naturalistic background. Scene generation for these ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-05)
  • Carpenter, Gail A.; Grossberg, Stephen; Rosen, David (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)
    This article introduces ART 2-A, an efficient algorithm that emulates the self-organizing pattern recognition and hypothesis testing properties of the ART 2 neural network architecture, but at a speed two to three orders ...
  • Carpenter, Gail A.; Gjaja, Marin N.; Gopal, Sucharita; Markuzon, Natalya; Woodcock, Curtis E. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-03)
    ART and ARTMAP neural networks for adaptive recognition and prediction have been applied to a variety of problems. Applications include parts design retrieval at the Boeing Company, automatic mapping from remote sensing ...
  • Carpenter, Gail; Milenova, Boriana (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-01)
    ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include airplane design and manufacturing, automatic target recognition, financial ...
  • Carpenter, Gail A.; Gjaja, Marin N.; Gopal, Sucharita; Woodcock, Curtis (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-02)
    ART and ARTMAP neural networks for adaptive recognition and prediction have been applied to a variety of problems, including automatic mapping from remote sensing satellite measurements, parts design retrieval at the Boeing ...
  • Carpenter, Gail A.; Gjaja, Marin N.; Gopal, Sucharita; Woodcock, Curtis E. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-09)
    A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are tested on a challenging remote sensing classification ...
  • Carpenter, Gail A.; Gjaja, Marin N.; Gopal, Sucharita; Woodcock, Curtis E. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-03)
    A new methodology for automatic mapping from Landsat Thematic Mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System capabilities are tested on a challenging remote sensing classification ...
  • Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-03)
    ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include airplane design and manufacturing, automatic target recognition, financial ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-11)
    The human urge to represent the three-dimensional world using two-dimensional pictorial representations dates back at least to Paleolithic times. Artists from ancient to modern times have struggled to understand how a few ...
  • Carpenter, Gail A.; Ross, William D. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    This paper introduces ART-EMAP, a neural architecture that uses spatial and temporal evidence accumulation to extend the capabilities of fuzzy ARTMAP. ART-EMAP combines supervised and unsupervised learning and a medium-term ...
  • Carpenter, Gail A.; Ross, William D. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-10)
    A new neural network architecture is introduced for the recognition of pattern classes after supervised and unsupervised learning. Applications include spatio-temporal image understanding and prediction and 3-D object ...
  • Grossberg, Stephen; Williamson, James R. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-05)
    A self-organizing architect is developed for image region classification. The system consists of a preprocessor that utilizes multi-scale filtering, competition, cooperation, and diffusion to compute a vector of image ...
  • Guenther, Frank H.; Epsy-Wilson, Carol Y.; Boyce, Suzanne E.; Matthies, Melanie L.; Zandipour, Majid; Perkell, Joseph S. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-01)
    Acoustic and articulatory recordings reveal that speakers utilize systematic articulatory tradeoffs to maintain acoustic stability when producing the phoneme /r/. Distinct articulator configurations used to produce /r/ in ...
  • Shock, Byron; Carpenter, Gail; Gopal, Sucharita; Woodcock, Curtis (Boston University Computer Science Department, 2001-12)
    The ability to detect and monitor changes in land use is essential for assessment of the sustainability of development. In the next decade, NASA will gather high-resolution multi-spectral and multi-temporal data, which ...
  • Parsons, Olga; Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2002-09)
    The Sensor Exploitation Group of MIT Lincoln Laboratory incorporated an early version of the ARTMAP neural network as the recognition engine of a hierarchical system for fusion and data mining of registered geospatial ...
  • Carpenter, Gail A.; Wilson, Frank D.M. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-6)
    ARTMAP-DS extends fuzzy ARTMAP to discriminate between similar inputs by discounting similarities. When two or more candidate category representations are activated by a given input, features that the candidate representations ...
  • Carpenter, Gail A.; Rubin, Mark A.; Streilein, William W. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-11)
    ARTMAP-FD extends fuzzy ARTMAP to perform familiarity discrimination. That is, the network learns to abstain from meaningless guesses on patterns not belonging to a class represented in the training set. ARTMAP-FD can also ...

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