Search Results - "Carpenter, G.A."

The ART of adaptive pattern recognition by a self-organizing neural network by Carpenter, G.A., Grossberg, S.

“…The adaptive resonance theory (ART) suggests a solution to the stability-plasticity dilemma facing designers of learning systems, namely how to design a…”
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Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps by Carpenter, G.A., Grossberg, S., Markuzon, N., Reynolds, J.H., Rosen, D.B.

“…A neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional maps in response to arbitrary…”
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ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data by Carpenter, G.A., Gjaja, M.N., Gopal, S., Woodcock, C.E.

“…A new methodology for automatic mapping from Landsat thematic mapper (TM) and terrain data, based on the fuzzy ARTMAP neural network, is developed. System…”
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A fuzzy ARTMAP nonparametric probability estimator for nonstationary pattern recognition problems by Carpenter, G.A., Grossberg, S., Reynolds, J.H.

“…An incremental, nonparametric probability estimation procedure using the fuzzy ARTMAP (adaptive resonance theory-supervised predictive mapping) neural network…”
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Large-scale neural systems for vision and cognition by Carpenter, G.A.

“…Consideration of how people respond to the question What is this? has suggested new problem frontiers for pattern recognition and information fusion, as well…”
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Default ARTMAP by Carpenter, G.A.

“…The default ARTMAP algorithm and its parameter values specified here define a ready-to-use general-purpose neural network system for supervised learning and…”
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Biologically inspired approaches to automated feature extraction and target recognition by Carpenter, G.A., Martens, S., Mingolla, E., Ogas, O.J., Sai, C.

“…Ongoing research at Boston University has produced computational models of biological vision and learning that embody a growing corpus of scientific data and…”
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Default ARTMAP 2 by Amis, G.P., Carpenter, G.A.

“…Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values…”
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Unifying multiple knowledge domains using the ARTMAP information fusion system by Carpenter, G.A., Ravindran, A.

“…Sensors working at different times, locations, and scales, and experts with different goals, languages, and situations, may produce apparently inconsistent…”
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Distributed ARTMAP by Carpenter, G.A., Milenova, B.L.

“…Distributed coding at the hidden layer of a multilayer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However,…”
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WSOM: building adaptive wavelets with self-organizing maps by Campos, M.M., Carpenter, G.A.

“…The WSOM (wavelet self-organizing map) model, a neural network for the creation of wavelet bases adapted to the distribution of input data, is introduced. The…”
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Self-organizing hierarchical knowledge discovery by an ARTMAP information fusion system by Carpenter, G.A., Martens, S.

“…Classifying terrain or objects may require the resolution of conflicting information from sensors working at different times, locations, and scales, and from…”
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Brain categorization: learning, attention, and consciousness by Grossberg, S., Carpenter, G.A., Ersoy, B.

“…How do humans and animals learn to recognize objects and events? Two classical views are that exemplars or prototypes are learned. A hybrid view is that a…”
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Working memories for storage and recall of arbitrary temporal sequences by Bradski, G., Carpenter, G.A., Grossberg, S.

“…A working memory model is described that is capable of storing and recalling arbitrary temporal sequences of events, including repeated items. These memories…”
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A what-and-where neural network for invariant image preprocessing by Carpenter, G.A., Grossberg, S., Lesher, G.W.

“…A feedforward neural networks for invariant image preprocessing is proposed that represents the position, orientation, and size of an image figure (where it…”
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ARTMAP-FD: familiarity discrimination applied to radar target recognition by Carpenter, G.A., Rubin, M.A., Streilein, W.W.

“…ARTMAP-FD extends fuzzy ARTMAP to perform familiarity discrimination. That is, the network learns to abstain from meaningless guesses on patterns not belonging…”
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A neural network for object recognition through sonar on a mobile robot by Streilein, W.W., Gaudiano, P., Carpenter, G.A.

“…A novel approach to sonar-based object recognition for use on an autonomous robot is described. An inexpensive Polaroid sonar, coupled with an A/D data…”
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Information fusion for image analysis: geospatial foundations for higher-level fusion by Waxman, A.M., Fay, D.A., Rhodes, B.J., McKenna, T.S., Ivey, R.T., Bomberger, N.A., Bykoski, V.K., Carpenter, G.A.

“…In support of the AFOSR program in Information Fusion, the CNS Technology Laboratory at Boston University is developing and applying neural models of image and…”
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Mobile robot sensor integration with fuzzy ARTMAP by Martens, S., Gaudiano, P., Carpenter, G.A.

“…The raw sensory input available to a mobile robot suffers from a variety of shortcomings. Sensor fusion can yield a percept more veridical than is available…”
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ART-EMAP: A neural network architecture for object recognition by evidence accumulation by Carpenter, G.A., Ross, W.D.

“…A new neural network architecture is introduced for the recognition of pattern classes after supervised and unsupervised learning. Applications include…”
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