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Critical Motion Detection of Nearby Moving Vehicles in a Vision-Based Driver-Assistance System (2009)
Categories Topics: Biological Vision, Image Analysis, Applications: Industrial Control, Models: ART 2 / Fuzzy ART,
Author(s) Chen, S.W. | Fang, C.Y. | Cherng, S. |
Abstract Driving always involves risk. Various means have been proposed to reduce the risk. Critical motion detection of nearby moving vehicles is one of the important means of preventing accidents. In this paper, a computational ...

Discovery of hierarchical thematic structure in text collections with adaptive resonance theory (2009)
Categories Topics: Machine Learning, Applications: Information Fusion, Models: ART 1,
Author(s) Massey, L. |
Abstract This paper investigates the abilities of adaptive resonance theory (ART) neural networks as miners of hierarchical thematic structure in text collections. We present experimental results with binary ART1 on the benchmark ...

Projective ART with buffers for the high dimensional space clustering and an application to discover stock associations (2009)
Categories Topics: Machine Learning, Applications: Financial Time Series Predictions, Models: Modified ART,
Author(s) Liu, L. | Huang, L.H. | Lai, M.Y. | Ma, C.Q. |
Abstract Unlike to traditional hierarchical and partitional clustering algorithms which always fail to deal with very large databases, a neural network architecture, projective adaptive resonance theory (PART), is developed for the ...

View-invariant object category learning, recognition, and search: How spatial and object attention are coordinated using surface-based attentional shrouds (2009)
Categories Topics: Biological Learning, Models: Modified ART,
Author(s) Grossberg, S. | Mingolla, E. | Fazl, A. |
Abstract How does the brain learn to recognize an object from multiple viewpoints while scanning a scene with eye movements? How does the brain avoid the problem of erroneously classifying parts of different objects together? How are ...

STDP implementation using memristive nanodevice in CMOS-Nano neuromorphic networks (2009)
Categories Topics: Neural Hardware,
Author(s) Abidin, I. Z. | Afifi, A. | Ayatollahi, A. | Raissi, F. |
Abstract Implementation of a correlation-based learning rule, Spike-Timing-Dependent-Plasticity (STDP), for asynchronous neuromorphic networks is demonstrated using `memristive' nanodevice. STDP is performed using locally available ...

GUI4GUI user guide (2009)
Categories Topics: Other, Applications: Other, Models: Other,
Author(s)
Abstract Frequently, a computer program requires input parameters to define a specific application prior to running it. For codes that require few input parameters, the usual method to define these parameters is to store them in a ...

Biased ART: A neural architecture that shifts attention toward previously disregarded features following an incorrect prediction (2009)
Categories Topics: Machine Learning, Models: ARTMAP,
Author(s) Carpenter, G.A. | Gaddam, C.S. |
Abstract Memories in Adaptive Resonance Theory (ART) networks are based on matched patterns that focus attention on those portions of bottom-up inputs that match active top-down expectations. While this learning strategy has proved ...

Self-supervised ARTMAP (2009)
Categories Topics: Machine Learning, Models: ARTMAP,
Author(s) Amis, G.P. | Carpenter, G.A. |
Abstract Computational models of learning typically train on labeled input patterns (supervised learning), unlabeled input patterns (unsupervised learning), or a combination of the two (semi-supervised learning). In each case input ...

ARTSCENE: A Neural System for Natural Scene Classification (2009)
Categories Topics: Image Analysis, Machine Learning, Models: Fuzzy ARTMAP, Modified ART,
Author(s) Grossberg, S. | Huang, T.R. |
Abstract How do humans rapidly recognize a scene? How can neural models capture this biological competence to achieve state-of-the-art scene classification? The ARTSCENE neural system classifies natural scene photographs by using ...

Computational Intelligence Meets the NetFlix Prize (2008)
Categories Topics: Machine Learning, Applications: Information Fusion, Models: ART 2 / Fuzzy ART,
Author(s) Meuth, R.J. | Robinette, P. |
Abstract The NetFlix Prize is a research contest that will award $1 Million to the first group to improve NetFlix's movie recommendation system by 10%. Contestants are given a dataset containing the movie rating histories of ...

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