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  • 1
    Online Resource
    Online Resource
    Washington, DC ; s.l : Transport, Water, and Urban Development Dept
    UID:
    b3kat_BV049076738
    Format: 1 Online-Ressource (38 Seiten) , ill , 28 cm
    Edition: Online-Ausg
    Series Statement: Policy research working paper 1842
    Note: "November 1997 , Includes bibliographical references (32-34)
    Additional Edition: Ingram, Gregory K Motorization and the provision of roads in countries and cities
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    UID:
    b3kat_BV049076546
    Format: 1 Online-Ressource (34 Seiten))
    Edition: Online-Ausg
    Content: January 1999 - National and urban motor vehicle ownership increases at about the same rate as income, whereas road length increases with income mainly at the national level. So, urban congestion grows with income. Controlling vehicle fleet growth and use would require high taxes that increase faster than income - or there could be congestion tolls. Ingram and Liu survey past trends in vehicle ownership and road network expansion to analyze determinants of their growth at the national and urban level. Surprisingly, they find that: ° Nationally, income is a major determinant of both vehicle ownership and road length. ° Nationally, paved road length and vehicle ownership has been increasing about as fast as income, while total road length is increasing less rapidly than income. ° In urban areas vehicle ownership increases as fast as income while road length increases very slowly with income.
    Content: Because national paved road networks are expanding about as fast as national motor vehicle fleets, national congestion is unlikely to be worsening. But because urban road length is growing much more slowly than the number of urban motor vehicles, urban congestion is rising with income over time. Increased urban congestion is stimulating decentralized urban growth. Income elasticities are greater than price elasticities in absolute terms, for both vehicle ownership and use - an important finding because prices are often used as an instrument to control motor vehicle ownership and use. If price elasticities are half as large as income elasticities, prices would have to grow twice as fast as incomes to stabilize vehicle ownership. Breaking the link between income growth, rising congestion, and urban decentralization will be difficult: Restraining auto ownership in urban areas requires high tax rates, and increasing the supply of urban roads is costly.
    Content: Elasticity estimates vary, but a good point estimate for the income elasticity of fleet growth is 1. This means country motor vehicle fleets grow in proportion to country incomes. More than half the world's annual increase in motor vehicles is likely to occur in high-income countries until 2025 (assuming GNP growth of 3 percent in high-income countries, 5 percent in low- and middle-income countries). The motor vehicle fleet in low- and middle-income countries is not projected to exceed that in high-income countries until after 2050. Carbon dioxide emissions are likely to be distributed similarly. This paper-a joint product of the Research Advisory Staff and the Transport Division, Transport, Water, and Urban Development Department-is part of a research project on motorization and roads. The authors may be contacted at gingram@worldbank.org or zliu@worldbank.org
    Additional Edition: Ingram, K. Gregory Determinants of Motorization and Road Provision
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 3
    Online Resource
    Online Resource
    Washington, DC : World Bank, Research Advisory Group and Transport, Water, and Urban Development Department, Transport Division
    UID:
    b3kat_BV049076552
    Format: 1 Online-Ressource (34 Seiten) , ill , 28 cm
    Edition: Online-Ausg Also available in print
    Series Statement: Policy research working paper 2036
    Note: "December 1998"--Cover , Includes bibliographical references (p. 22)
    Additional Edition: Ingram, Gregory K Vehicles, roads, and road use
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 4
    UID:
    b3kat_BV049078625
    Format: 1 Online-Ressource (xxiv, 503 Seiten) , ill., maps , 28 cm
    Edition: Online-Ausg
    ISBN: 0821338412
    Series Statement: East Asia and Pacific region series no.352
    Note: Includes bibliographical references , Papers presented at the China Urban Transport Symposium
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 5
    UID:
    gbv_1654151068
    Format: Online-Ressource (XIX, 661 p. 289 illus, online resource)
    Edition: 1st ed. 2015
    ISBN: 9783319239897
    Series Statement: Lecture Notes in Computer Science 9242
    Content: The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.
    Note: Literaturangaben
    Additional Edition: ISBN 9783319239873
    Additional Edition: Druckausg. ISBN 978-3-319-23987-3
    Language: English
    Keywords: Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 6
    UID:
    gbv_1654145157
    Format: Online-Ressource (XIX, 627 p. 205 illus, online resource)
    Edition: 1st ed. 2015
    ISBN: 9783319238623
    Series Statement: Lecture Notes in Computer Science 9243
    Content: The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the proceedings was carefully reviewed and selected from 416 submissions. They deal with big data, neural networks, image processing, computer vision, pattern recognition and graphics, object detection, dimensionality reduction and manifold learning, unsupervised learning and clustering, anomaly detection, semi-supervised learning.
    Note: Literaturangaben
    Additional Edition: ISBN 9783319238616
    Additional Edition: Druckausg. ISBN 978-3-319-23861-6
    Language: English
    Keywords: Big Data ; Maschinelles Lernen ; Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 7
    UID:
    gbv_1653131837
    Format: Online-Ressource (XX, 906 p. 404 illus, online resource)
    ISBN: 9783642420573
    Series Statement: Lecture Notes in Computer Science 8261
    Content: This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013, held in Beijing, China, in July/August 2013. The 111 papers presented were carefully peer-reviewed and selected from 390 submissions. Topics covered include information theoretic and Bayesian approaches; probabilistic graphical models; pattern recognition and computer vision; signal processing and image processing; machine learning and computational intelligence; neural networks and neuro-informatics; statistical inference and uncertainty reasoning; bioinformatics and computational biology; and speech recognition and natural language processing
    Note: Literaturangaben , Advanced Variable Window Stereo Matching AlgorithmUnfocused Blur Assessment of SAR -- Syntactic Sensitive Complexity for Symbol-Free Sequence -- Compression in Molecular Simulation Datasets -- Online-Learning Structural Appearance Model for Robust Visual Tracking -- Polygon-Location Method Based on Uyghur Text Regional Rules -- Study on the Electromagnetic Performance of Hydroelectric Generator Based on Intelligent Control -- Text-Independent Phoneme Segmentation via Learning Critical Acoustic Change Points -- Robustness Analysis of Z-type ZLE Solving -- Orthogonal Waveform Design Based on the Modified Chaos Genetic Algorithm for MIMO Radar -- Automatic Object Tracking in Aerial Videos via Spatial-temporal Feature Clustering -- A Neural Network for Parameter Estimation of the Exponentially Damped Sinusoids -- Local-Global Joint Decision Based Clustering for Airport Recognition -- Spatio-temporal Features for Efficient Video Copy Detection -- Improve Scene Classification by Using Feature and Kernel Combination -- Horror Text Recognition Based on Generalized Expectation Criteria -- A Representative-Sequence Based Near-Duplicate Video Detection Method -- Non-negative Sparse Coding Using Independent Multi-Codebooks for Near-Duplicate Image Detection -- Machine Vision Based Automatic Micro-parts Detection System -- Segment Based Depth Extraction Approach for Monocular Image with Linear Perspective -- A Fuzzy Mix-Prototype Clustering Algorithm for Leukemia Data Analysis -- Blind Image Quality Assessment with Semi-supervised Learning and Fuzzy Logic -- Research on Quality Improvement of Polarization Imaging in Foggy Conditions -- Human Interaction Recognition by Spatial Structure Models -- Robust Principal Component Analysis for Recognition -- Time-Varying Distributed Resource Allocation Based on Thermal Minority Game -- Salient Object Detection via Fast Iterative Truncated Nuclear Norm Recovery -- An Efficient Resource Allocation Method for Multimedia Cloud Computing -- Research and Application of Corrosion Prediction Based on GRA-SVR -- Data Map -- Strip Flatness and Gauge Multivariable Control at Cold Tandem Mill Based on Fuzzy RBF Neural Network -- Medical Image Segmentation Based on FCM and Wavelets -- Image Segmentation Based on NSCT and BF-PSO Algorithm -- Non-linear Feature Fusion Based on Polynomial Correlation Filter for Face Recognition -- Automated Tongue Segmentation Based on 2D Gabor Filters and Fast Marching -- Hyperspectral Medical Images Unmixing for Cancer Screening Based on Rotational Independent Component Analysis.-Harmonious Competition Learning for Gaussian Mixtures -- Color Image Segmentation Based-on SVM Using Mixed Features and Combined Kernel -- Co-expressing Patterns of Schizophrenia Candidate Genes in Brain Regions -- Boosting Deformable Part Model by Sample Sharing and Outlier Ablation -- Multi-cue Visual Tracking Based on Sparse Representation -- Visual Saliency Detection via Homology Distribution and Color Contrast -- A Comparative Study on Selecting Acoustic Modeling Units in Deep Neural Networks Based Large Vocabulary Chinese Speech Recognition -- Multi-level Linguistic Knowledge Based Chinese Grapheme-to-Phoneme Conversion -- Blind Quality Assessment on Binary Seal Images -- Image Super-Resolution Based on Data-Driven Gaussian Process Regression -- Face Recognition Based on Non-Subsampled Contourlet Transform and Multi-order Fusion Binary Patterns -- Texture-Aware Fast Global Level Set Evolution -- A Novel Metric for Image Denoising Algorithms -- Adaptive Weight Optimization for Classification of Imbalanced Data -- Fuzzy-PI Switch Control in Intermediate Frequency Heating Process of 3PE-Coating -- An Improved Method in Change Detection of Multitemporal Remote Sensing Image -- A Probability-Based Object Tracking Method -- Pedestrian Detection Based on Incremental Learning -- Sparsity Preserving Score for Joint Feature Selection -- Methods for Photomosaic Generation Based on Different Image Similarity and Division Strategies -- A Level Set with Shape Priors Using Moment-Based Alignment and Locality Preserving Projections -- An Improved Texture Feature Extraction Method for Tyre Tread Patterns -- Multi Gesture Recognition: A Tracking Learning Detection Approach -- An Automatic MSRM Method with a Feedback Based on Shape Information for Auroral Oval Segmentation -- An Improved ELM Algorithm Based on EM-ELM and Ridge Regression -- An Attitude Determination System of Quad-rotor Aircraft Based on Extended Kalman Filter and Data Fusion -- Connectivity of Clustered and Multi-type User CR Network: A Percolation Based Approach -- Patch-Based Tracking and Detecting for Visual Tracking -- Adaptive Regularization Parameters and Norm Selection for Sparse Gradient Based Image Restoration -- Key-Frame Selection Strategy Based on Edge Points Classification in 2D-to-3D Conversion -- Camera Localization and Pose Estimation Using an RGBD Sensor -- Sparse Brain Anatomical Network Based Classification of Schizophrenia Patients and Healthy Controls -- Sparse Learning for Face Recognition with Social Context -- Finger Vein Recognition Based on Gabor Filter -- Construction and Simulation Analysis for Stability Speed Parameter of Instantaneous Availability for One-Unit Repairable Systems -- Compressed Sensing Ensemble Classifier for Human Detection -- An Improved Particle Swarm Optimization for Complex Optimization Problems -- An Improved Method for Oriented Chamfer Matching -- Integrative Hypothesis Test and A5 Formulation: Sample Pairing Delta, Case Control Study and Boundary Based Statistics.
    Additional Edition: ISBN 9783642420566
    Additional Edition: Druckausg. Intelligence science and big data engineering Berlin : Springer, 2013 ISBN 9783642420566
    Additional Edition: ISBN 3642420567
    Additional Edition: Druckausg. Intelligence science and big data engineering Berlin [u.a.] : Springer, 2013 ISBN 9783642420566
    Additional Edition: ISBN 3642420567
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Soft Computing ; Bildverarbeitung ; Maschinelles Lernen ; Mustererkennung ; Datenanalyse ; Konferenzschrift ; Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 8
    Online Resource
    Online Resource
    Tokyo : Springer
    UID:
    gbv_749176571
    Format: Online-Ressource (XVIII, 327 p) , digital
    Edition: Springer eBook Collection. Computer Science
    ISBN: 9784431679073
    Series Statement: Computer Science Workbench
    Content: Today's networked world and the decentralization that the Web enables and symbolizes have created new phenomena: information explosion and saturation. To deal with information overload, our computers should have human-centered functionality and enhanced intelligence, but instead they simply become faster. Soft computing is a unifying framework that combines techniques in neural networks, fuzzy theory, genetic algorithms, and artificial intelligence to develop intelligent systems able to learn in dynamic, imprecise, and uncertain environments. This book explains the theory, methodology, and application aspects of human-centered systems, showing how it is possible to extend to machines such techniques as dynamic cognitive learning, neural-fuzzy-based learning, and genetic-evolutionary type learning paradigms
    Additional Edition: ISBN 9784431702795
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9784431679868
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9784431679080
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9784431702795
    Language: English
    URL: Volltext  (lizenzpflichtig)
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  • 9
    UID:
    gbv_77242439X
    Format: Online-Ressource (1 online resource (617 pages))
    Edition: Association for Computing Machinery-Digital Library
    ISBN: 9781450310604
    Series Statement: ACM Digital Library
    Note: Title from The ACM Digital Library
    Language: English
    Keywords: Konferenzschrift
    Author information: Liu, Zhi-Qiang 1950-
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  • 10
    UID:
    gbv_1646674847
    Format: Online-Ressource (XXI, 1110 p. Also available online, digital)
    ISBN: 9783540335856
    Series Statement: Lecture Notes in Computer Science 3930
    Content: Agents and Distributed AI -- Intelligent Control (I) -- Intelligent Control (II) -- Data Mining and Knowledge Discovery (I) -- Data Mining and Knowledge Discovery (II) -- Data Mining and Knowledge Discovery (III) -- Fuzzy Information Processing (I) -- Fuzzy Information Processing (II) -- Learning and Reasoning (I) -- Learning and Reasoning (II) -- Learning and Reasoning (III) -- Machine Learning Applications (I) -- Machine Learning Applications (II) -- Machine Learning Applications (III) -- Neural Networks and Statistical Learning Methods (I) -- Neural Networks and Statistical Learning Methods (II) -- Neural Networks and Statistical Learning Methods (III) -- Neural Networks and Statistical Learning Methods (IV) -- Pattern Recognition (I) -- Pattern Recognition (II) -- Vision and Image Processing (I) -- Vision and Image Processing (II).
    Content: Machine learning and cybernetics play an important role in many modern electronic, computer and communications systems. Automated processing of information by these systems requires intelligent analysis of various types of data and optimal decision making. In recent years, we have witnessed a rapid expansion of research and development activities in machine learning and cybernetics. To provide opportunities for researchers in these areas to share their ideas and foster collaborations, the International Conference on Machines and Cybernetics (ICMLC) has been held annually since 2002. The conference series has achieved a great success in attracting a large number of paper submissions and participants and enabling fruitful exchanges among academic and industrial researchers and postgraduate students. In 2005, the conference (ICMLC 2005) received 2461 full paper submissions and the Program Committee selected 1050 of them for presentation. It is especially encouraging that the conference is attracting more and more international attention. This year, there are contributions from 21 countries and 211 universities worldwide. Out of the 1050 papers presented at the conference, we selected 114 papers to be published in this volume of Lecture Notes in Computer Science.
    Note: Literaturangaben , Lizenzpflichtig
    Additional Edition: ISBN 9783540335849
    Additional Edition: Buchausg. u.d.T. Advances in machine learning and cybernetics Berlin : Springer, 2006 ISBN 3540335846
    Additional Edition: ISBN 9783540335849
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Künstliche Intelligenz ; Maschinelles Lernen ; Künstliche Intelligenz ; Maschinelles Lernen ; Konferenzschrift
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
    Author information: Liu, Zhi-Qiang 1950-
    Author information: Yeung, Daniel S. 1946-
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