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3-D VLSI Architecture Implementation for Data Fusion Problems
External Online Source: hdl:2014/17650
Author and Affiliation:
Duong, T.
Weldon, D.
Thomas, T.
Abstract: This paper gives an overview of hardware implementation techniques employed in solving real-time classification problems using Neural Network, Principle Component Analysis (PCA), and Independent Component Analysis (ICA) techniques.
Publication Date: Jul 06, 1999
Document ID:
20060040724
(Acquired Sep 15, 2006)
Subject Category: CYBERNETICS, ARTIFICIAL INTELLIGENCE AND ROBOTICS
Document Type: Conference Paper
Meeting Information: Data Fusion 1999; Sunnyvale, CA; United States
Financial Sponsor: Jet Propulsion Lab., California Inst. of Tech.; Pasadena, CA, United States
Description: In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright
NASA Terms: CLASSIFICATIONS; MULTISENSOR FUSION; NETWORK ANALYSIS; NEURAL NETS; REAL TIME OPERATION; VERY LARGE SCALE INTEGRATION
Other Descriptors: 3-D VLSI ARCHITECTURE DATA FUSION NEURAL NETWORKS
Availability Source: Other Sources
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