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Application of FRS on Target Recognition
Open Journal of Applied Sciences, 2017 In order to let machine better imitate thinking method of people to perform recognition and classification for fuzzy and uncertain thing, this paper puts forward a fuzzy and rough association method to deal with the problem. However, the application of fuzzy rough sets (FRS) will be introduced mainly on pattern recognition. Some related theories on FRS
Zhenyu Han, Donghua Gu, Wu Qing'e
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The effect of three practice conditions on the consistency of chronic dysarthric speech [PDF]
, 2004 This study investigated whether it is possible for people with chronic dysarthria to adjust their articulation in three practice conditions. A speaker dependent, speech recognition system was used to compare participants' practice attempts with a model ...
Cunningham, S.P. +2 more
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Focus accent, word length and position as cues to L1 and L2 word recognition [PDF]
, 2005 The present study examines native and nonnative perceptual processing of semantic information conveyed by prosodic prominence. Five groups of German learners of English each listened to one of 5 experimental conditions. Three conditions differed in place
Carroll, Susanne E. +3 more
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Physics of Automatic Target Recognition [PDF]
, 2007 The Physics of Automatic Target Recognition is part of a series focusing on Advanced Sciences and Technologies for Security Applications. This book will address the fundamental physical bases of sensing, and information extraction in the state-of-the art automatic target recognition field.
Bahram Javidi, Firooz A. Sadjadi
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Biologically Inspired Approaches to Automated Feature Extraction and Target Recognition [PDF]
, 2004 Ongoing research at Boston University has produced computational models of biological vision and learning that embody a growing corpus of scientific data and predictions.
Carpenter, Gail +4 more
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A Cross-media Retrieval System for Lecture Videos
, 2003 We propose a cross-media lecture-on-demand system, in which users can selectively view specific segments of lecture videos by submitting text queries. Users can easily formulate queries by using the textbook associated with a target lecture, even if they
Akiba, Tomoyosi +3 more
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A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition
, 2018 Deep neural networks (DNNs) have found applications in diverse signal processing (SP) problems. Most efforts either directly adopt the DNN as a black-box approach to perform certain SP tasks without taking into account of any known properties of the ...
Chen, Xiang, Tian, Zhi, Zhang, Zhe
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Constrained Deep Transfer Feature Learning and its Applications
, 2017 Feature learning with deep models has achieved impressive results for both data representation and classification for various vision tasks. Deep feature learning, however, typically requires a large amount of training data, which may not be feasible for ...
Ji, Qiang, Wu, Yue
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Adaptive Target Recognition: A Case Study Involving Airport Baggage Screening
, 2018 This work addresses the question whether it is possible to design a computer-vision based automatic threat recognition (ATR) system so that it can adapt to changing specifications of a threat without having to create a new ATR each time.
Kak, Avinash C. +2 more
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Air Force research in optical processing [PDF]
Optical and optical electronic hybrid processing especially in the application area of image processing are emphasized. Real time pattern recognition processors for such airborne missions as target recognition, tracking, and terminal guidance are ...
Neff, J.
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