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Automatic Target Recognition User Interface Tool
Da: California Books, Miami, FL, U.S.A.
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Condizione: New. Codice articolo I-9781025091600
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Automatic Target Recognition User Interface Tool
Print on DemandDa: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9781025091600
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Automatic Target Recognition User Interface Tool
Print on DemandDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9781025091600
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Automatic Target Recognition User Interface Tool
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. Codice articolo 26404688873
Quantità: 4 disponibili
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Automatic Target Recognition User Interface Tool
Print on DemandDa: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand. Codice articolo 409514038
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Automatic Target Recognition User Interface Tool
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND. Codice articolo 18404688867
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Automatic Target Recognition User Interface Tool (Paperback)
Da: CitiRetail, Stevenage, Regno Unito
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Paperback. Condizione: new. Paperback. A computer tool to aid in selecting the best Automatic Target Recognition (ATR) algorithm is developed. The program considers many quantifiers, accepts user-defined parameters, allows for changes in the operational environment and presents results in a meaningful way. It is written for Microsoft Excel. An ATR algorithm assigns a class label to a recognized target. General designations can include "Friend" and "Foe." The error of designating "Friend" as "Foe" as well as "Foe" as "Friend" comes with a high cost. Studying each algorithm's error can minimize this cost. Receiver Operating Characteristic (ROC) curves provide only information on the probabilities given a system state of declaring up to three class labels: "True," "False" or "Unknown." Other quantifiers, including an alternate ROC curve, are developed in this study to provide information on the probability of a system state given any of multiple declarations, which is more useful to the user. Sensitivity to prior probabilities, suggestions for user-defined parameters and areas for future research are identified as the User Interface Tool is described in detail in this thesis.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781025091600
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Automatic Target Recognition User Interface Tool
Editore:
Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025091604
ISBN 13: 9781025091600
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Neuware - A computer tool to aid in selecting the best Automatic Target Recognition (ATR) algorithm is developed. The program considers many quantifiers, accepts user-defined parameters, allows for changes in the operational environment and presents results in a meaningful way. It is written for Microsoft Excel. An ATR algorithm assigns a class label to a recognized target. General designations can include 'Friend' and 'Foe.' The error of designating 'Friend' as 'Foe' as well as 'Foe' as 'Friend' comes with a high cost. Studying each algorithm's error can minimize this cost. Receiver Operating Characteristic (ROC) curves provide only information on the probabilities given a system state of declaring up to three class labels: 'True,' 'False' or 'Unknown.' Other quantifiers, including an alternate ROC curve, are developed in this study to provide information on the probability of a system state given any of multiple declarations, which is more useful to the user. Sensitivity to prior probabilities, suggestions for user-defined parameters and areas for future research are identified as the User Interface Tool is described in detail in this thesis. Codice articolo 9781025091600
Quantità: 2 disponibili