Search Results - "Cottrell, G.W."

Looking around the backyard helps to recognize faces and digits by Honghao Shan, Cottrell, G.W.

“…Human beings have the ability to learn to recognize a new visual category based on only one or few training examples. Part of this ability might come from the…”
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Organization of face and object recognition in modular neural network models by Dailey, M.N., Cottrell, G.W.

“…There is strong evidence that face processing in the brain is localized. The double dissociation between prosopagnosia, a face recognition deficit occurring…”
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Time-delay neural networks: representation and induction of finite-state machines by Clouse, D.S., Giles, C.L., Horne, B.G., Cottrell, G.W.

“…In this work, we characterize and contrast the capabilities of the general class of time-delay neural networks (TDNNs) with input delay neural networks…”
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Visual saliency model for robot cameras by Butko, N.J., Lingyun Zhang, Cottrell, G.W., Movellan, J.R.

“…Recent years have seen an explosion of research on the computational modeling of human visual attention in task free conditions, i.e., given an image predict…”
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Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments by Marks, T.K., Howard, A., Bajracharya, M., Cottrell, G.W., Matthies, L.

“…We introduce a new method for stereo visual SLAM (simultaneous localization and mapping) that works in unstructured, outdoor environments. Unlike other…”
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A Computational Model which Learns to Selectively Attend in Category Learning by Lingyun Zhang, Cottrell, G.W.

“…Shepard et al. (1961) made empirical and theoretical investigation of the difficulties of different kinds of classifications using both learning and memory…”
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Categorization of faces using unsupervised feature extraction by Fleming, M.K., Cottrell, G.W.

“…The proposal of G. Cottrell et al. (1987) that their image compression network might be used to extract image features for pattern recognition automatically,…”
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Some experiments on learning stable network oscillations by Tsung, F.S., Cottrell, G.W., Selverston, A.I.

“…The authors focus on limit cycle experiments with neural nets, showing that it is possible for standard sigmoidal unit networks to learn stable, collective…”
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A technique for adapting to speech rate by Nguyen, M.H., Cottrell, G.W.

“…A technique is proposed for automatically estimating and dynamically adapting to the rate of a speech signal. A recurrent network is first trained to predict…”
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Hopf bifurcation and Hopf hopping in recurrent nets by Tsung, F.-S., Cottrell, G.W.

“…Some aspects of the learning dynamics of recurrent neural networks are discussed. It is shown that as a two-unit fully recurrent network is trained to…”
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A model of symbol grounding in a temporal environment by Bartell, B.T., Cottrell, G.W.

“…The authors present a simple recurrent neural network which was trained to generate sequences of symbols classifying sequences of perceptual input originating…”
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