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  • 1
    facet.materialart.12
    Wiesbaden, Germany : Springer Gabler
    Call number: 9783658065287 (e-book)
    Description / Table of Contents: Die zügige und ganzheitliche Einarbeitung und Integration eines neuen Mitarbeiters (Onboarding) ist ein zentraler Prozess, um die Leistungsfähigkeit einer Organisation dauerhaft sicherstellen zu können. Diese Investitionsleistung zahlt sich mehrfach aus, denn nur auf dieser Grundlage wird der neue Mitarbeiter seine volle Leistungsfähigkeit und Leistungsbereitschaft zum Nutzen der Organisation entwickeln. Dieses Essential bietet konkrete Hilfestellungen, um den Onboarding-Prozess für alle Beteiligten - den neuen Mitarbeiter, die Führungskraft und den HR Bereich - erfolgreich gestalten zu können.
    Type of Medium: 12
    Pages: 1 online resource (39 pages)
    ISBN: 9783658065287 (e-book)
    ISSN: 2197-6716
    Series Statement: Essentials
    Language: German
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  • 2
    Call number: S 99.0139(356)
    In: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover
    Type of Medium: Series available for loan
    Pages: x, 111 Seiten , Illustrationen, Diagramme
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover Nr. 356
    Language: English
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2020 , Abstract Zusammenfassung Acknowledgments Definition, Acronyms and Symbols 1 Introduction 1.1 Motivation 1.2 Person Re-Identification 1.3 Problem statement and research objective 1.4 Contribution 1.5 Outline of this thesis 2 Related work 2.1 Scope 2.2 Historical overview 2.3 Terminology and strategies 2.4 Handcrafted feature extraction methods 2.5 Data-driven feature extraction methods 2.6 Person view specific methods 2.7 Re-Ranking based methods 2.8 Domain adaptation methods 2.9 Discussion 3 Fundamentals 3.1 Fisheye camera geometry and projection model 3.2 Feature extraction 3.2.1 GOG/XQDA - a handcrafted feature extraction method 3.2.2 TriNet and SRNN - two data-driven feature extraction methods .... 4 A new approach for person re-identification 4.1 General overview 4.2 Input and assumptions 4.3 Projection alignment 4.4 View classification and sampling 4.5 Per-view matching 4.6 Fusion 4.7 Discussion of the approach 5 Experimental evaluation 5.1 General structure of this chapter 5.2 Multi-view investigations 5.2.1 Datasets 5.2.2 Training and inference procedure 5.2.3 Evaluation and discussion 5.3 Bird's eye view investigations 5.3.1 Datasets 5.3.2 Training and inference procedure 5.3.3 Evaluation and discussion 5.4 Influence of data 5.4.1 Datasets 5.4.2 Training and inference procedure 5.4.3 Evaluation and discussion 5.5 Fisheye investigations 5.5.1 Datasets 5.5.2 Training procedure 5.5.3 Projection alignment 5.5.4 Person view classification 5.5.5 Assessment of PRID results 5.5.6 Comparison with a contemporary approach 5.5.7 Qualitative comparison 6 Conclusions and future work A Datasets A.l Our novel datasets A.2 Public datasets References , Sprache der Zusammenfassungen: Englisch, Deutsch
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 3
    Call number: S 99. 0139 (336)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover
    Type of Medium: Series available for loan
    Pages: x, 117 Seiten , Illustrationen, Diagramme
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 336
    Language: German
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 4
    Call number: S 99.0139(362)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 362
    Type of Medium: Series available for loan
    Pages: XV, 143 Seiten , Illustrationen, Diagramme
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 362
    Language: English
    Note: 1 Introduction 1.1 Contributions 1.2 Thesis outline 2 Basics 2.1 Convolutional Neural Networks 2.1.1 Training 2.1.2 CNN Architectures 2.2 Active Shape Model 2.3 Monte Carlo based optimisation 3 State of the art 3.1 Data driven approaches 3.1.1 Viewpoint prediction 3.1.2 3D pose prediction 3.1.3 3D pose and shape prediction 3.2 Model driven approaches 3.2.1 Shape priors 3.2.2 Scene priors 3.2.3 Shape aware reconstruction 3.2.4 Optimisation 3.3 Discussion 4 Methodology 4.1 Overview 4.1.1 Input 4.1.2 Problem statement 4.1.3 Scene layout 4.1.4 Detection of vehicles 4.2 Subcategory-aware 3D shape prior 4.2.1 Geometrical representation 4.2.2 Mode Learning 4.3 Multi-Task CNN 4.3.1 Input branch 4.3.2 Vehicle type branch 4.3.3 Viewpoint branch 4.3.4 Keypoint/Wireframe branch 4.3.5 Training 4.4 Probabilistic vehicle reconstruction 4.4.1 3D likelihood 4.4.2 Keypoint likelihood 4.4.3 Wireframe likelihood 4.4.4 Position prior 4.4.5 Orientation prior 4.4.6 Shape prior 4.4.7 Inference 4.5 Discussion 5 Experimental setup 5.1 Objectives 5.2 Test data 5.2.1 KITTI benchmark 5.2.2 ICSENS data set 5.3 Parameter settings and training 5.3.1 Learning the ASM 5.3.2 Training of the CNN 5.4 Evaluation strategy and evaluation criteria 5.4.1 Detection 5.4.2 Multi-Task CNN 5.4.3 Probabilistic model for vehicle reconstruction 5.4.4 Comparison to related methods 6 Results and discussion 6.1 Detection 6.2 Evaluation of the CNN components 6.2.1 Evaluation of the viewpoint branch 6.2.2 Evaluation of the vehicle type branch 6.3 Ablation studies of the model components 6.3.1 Analysis of the observation likelihoods 6.3.2 Analysis of the state priors 6.4 Analysis of the full model for vehicle reconstruction 6.4.1 Evaluation of the pose 6.4.2 Evaluation of the shape 6.4.3 Analysis of further aspects 6.5 Comparison to related methods 6.6 Discussion 6.6.1 Likelihood terms 6.6.2 State priors 6.6.3 Full model 6.6.4 Inference 7 Conclusion and outlook , Sprache der Kurzfassungen: Englisch, Deutsch
    Location: Lower compact magazine
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  • 5
    Call number: AWI A14-18-91746
    In: NASA Reference Publication, 1233, Vol. 2
    Description / Table of Contents: A gridded surface elevation data set and a geo-referenced data base for the Seasat radar altimeter data over Greenland are described in this volume. It is intended to be a "user's guide" to accompany the data provided to data centers and other users. The grid points are on a polar stereogrphic projection with a nominal spacing of 20 km. The gridded elevations are derived from the elevation data in the geo-referenced data base by a weigthed fitting of a surface in the neighborhood of each grid point. The gridded elevations are useful for the creating of large-scale contour maps, and examining individual elevation measurements in specific geographic areas. Tape formats are described, ans a FORTRAN program for reading the data tape is listed and provided on the tape. For more details of the data processing procedures and corrections that were derived and applied to the data, see Volume 1 of this series.
    Type of Medium: Monograph available for loan
    Pages: 92 Seiten , Illustrationen, graphische Darstellungen
    Series Statement: NASA Reference Publication 1233, Vol. 2
    Language: English
    Note: Table of Contents: Preface. - 1.0 Introduction. - 2.0 Geo-referenced data base. - 3.0 Polar stereographic elevation grid. - 4.0 Goid grid. - Tables. - Appendix. - References.
    Location: AWI Reading room
    Branch Library: AWI Library
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  • 6
    Call number: S 99.0139(347)
    In: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 347
    Type of Medium: Series available for loan
    Pages: 152 Seiten , Illustrationen, Diagramme
    ISSN: 0174-1454
    Series Statement: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover Nr. 347
    Language: German
    Note: Dissertation, Gottfried Wilhelm Leibniz Universität Hannover, 2018 , Inhaltsverzeichnis 1 Einleitung 1.1 Motivation 1.2 Zielsetzung der Arbeit 1.3 Wissenschaftliche Beiträge 1.4 Gliederung 2 Grundlagen 2.1 Graphentheorie 2.1.1 Struktur 2.1.2 Der Algorithmus von Dijkstra 2.2 Der Algorithmus von Viterbi 2.3 Simulated Annealing 3 Unüberwachtes Lernen 3.1 Dichteschätzung 3.1.1 Parametrisierte Schätzer 3.1.2 Nichtparametrisierte Schätzer 3.1.3 Mischverteilungen 3.1.4 Zusammenfassung 3.2 Monte Carlo Methoden 3.2.1 Inversionsmethode 3.2.2 Verwerfungsmethode 3.3 Markov-Chain-Monte-Carlo Methoden 3.3.1 Markov-Ketten 3.3.2 Der Metropolis-Hastings-Algorithmus 3.4 Reversible Jump MCMC Methoden 4 Stand der Forschung 4.1 Digitale Straßenkarten 4.2 Rekonstruktion fahrbahngenauer Straßenkarten 4.2.1 Punktwolkenanalyse 4.2.2 Inkrementelle Trajektorien Analyse 4.2.3 Analyse charakteristischer Punkte 4.2.4 Verfahren nach Biagioni und Eriksson 4.2.5 Verfahren nach Cao und Krumm 4.3 Rekonstruktion fahrspurgenauer Straßenkarten 4.3.1 Fahrerassistenzsysteme 4.3.2 Naive Verfahren 4.3.3 Komplexe Verfahren 5 Verfahren zur automatischen Konstruktion hochgenauer Straßenkarten 5.1 Überblick 5.2 Segmentierung von Fahrzeugtrajektorien 5.3 Rekonstruktion fahrbahngenauer Straßenkarten 5.3.1 Initialisierung 5.3.2 Reversible Jump Markov Chain Monte Carlo 5.3.3 Algorithmus 5.3.4 Bewertung 5.4 Rekonstruktion fahrspurgenauer Straßenkarten 5.4.1 Modell 5.4.2 Initialisierung 5.4.3 Reversible Jump Markov Chain Monte Carlo 5.4.4 Algorithmus 5.4.5 Bewertung 6 Ergebnisse 6.1 Eingabedatensätze 6.2 Referenz Datensatz 6.3 Bewertungen 6.4 Fahrbahngenaue Rekonstruktion 6.4.1 Analyse des Verfahrens 6.4.2 Bewertung der Ergebnisse 6.5 Fahrspurgenaue Rekonstruktion 6.5.1 Analyse des Verfahrens 6.5.2 Bewertung der Ergebnisse 7 Zusammenfassung und Ausblick Anhang A. Literaturverzeichnis B Mathematische Definitionen C Eingabedaten D Dokumente E Danksagung F Widmung G Lebenslauf , Zusammenfassung in Englisch und Deutsch Seite 1-3
    Location: Lower compact magazine
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  • 7
    Monograph available for loan
    Monograph available for loan
    New York [u.a.] : Springer
    Associated volumes
    Call number: M 94.0488
    In: Texts in applied mathematics
    Type of Medium: Monograph available for loan
    Pages: XII, 294 S.
    ISBN: 0387941932
    Series Statement: Texts in applied mathematics 15
    Classification:
    C.1.8.
    Language: English
    Location: Upper compact magazine
    Branch Library: GFZ Library
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  • 8
    Call number: S 99.0038(530)
    In: Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften
    Type of Medium: Series available for loan
    Pages: 122 S.
    ISBN: 3769695690
    Series Statement: Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften : Reihe C, Dissertationen 530
    Classification:
    Photogrammetry, Remote Sensing
    Language: German
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 9
    Monograph available for loan
    Monograph available for loan
    Dordrecht [u.a.] : Reidel [u.a.]
    Call number: G 8534
    Type of Medium: Monograph available for loan
    Pages: X, 193 S. : Ill.
    ISBN: 0934634386
    Location: Upper compact magazine
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  • 10
    Monograph available for loan
    Monograph available for loan
    Berlin : Jovis-Verl.
    Call number: IASS 15.0010
    Type of Medium: Monograph available for loan
    Pages: 573 S. , Ill., graph. Darst., Kt.
    ISBN: 9783868593174
    Branch Library: IASS
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