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  • 1
    UID:
    b3kat_BV045099588
    Format: 1 Online-Ressource (XI, 288 Seiten) , Illustrationen, Diagramme
    ISBN: 9783319921983
    Series Statement: Lecture Notes in Computer Science 10880
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-92197-6
    Language: English
    Keywords: Mustererkennung ; Maschinelles Sehen ; Robotik ; Neuronales Netz ; Mustererkennung ; Data Mining ; Bildverarbeitung ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    Online Resource
    Online Resource
    Boston, MA : Springer US
    UID:
    b3kat_BV045148967
    Format: 1 Online-Ressource (XIII, 349 p)
    ISBN: 9781461544135
    Series Statement: The Kluwer International Series in Engineering and Computer Science 546
    Content: Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was 'Assessing the State of the Community and Charting New Research Directions.' Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization. Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781461369868
    Language: English
    Keywords: Bildverstehen ; Maschinelles Sehen ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    UID:
    gbv_1620288028
    Format: XIII, 349 S. , Ill., graph. Darst.
    ISBN: 0792377990
    Series Statement: Kluwer international series in engineering and computer science 546
    Note: Includes bibliographical references and index , Includes bibliographical references and index
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Visuelle Wahrnehmung ; Kognitiver Prozess ; Maschinelles Sehen ; Konferenzschrift
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  • 4
    UID:
    gbv_1026847923
    Format: Online-Ressource (XI, 288 p. 113 illus, online resource)
    ISBN: 9783319921983
    Series Statement: Lecture Notes in Computer Science 10880
    Content: This book constitutes the proceedings of the 10th Mexican Conference on Pattern Recognition, MCPR 2018, held in Puebla, Mexico, in June 2018. The 28 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in topical sections named: pattern recognition principles; deep learning, neural networks and associative memories; data mining; and computer vision
    Content: Pattern Recognition Principles -- Patterns of Go gaming by Ising model -- A Novel Criterion to Obtain the Best Feature Subset from Filter Ranking Methods -- Class-specific Reducts vs. Classic Reducts in a Rule-based Classifier: A Case Study -- On the Construction of a Specific Algebra for Composing Tonal Counterpoint -- The Impact of Basic Matrix Dimension on the Performance of Algorithms for Computing Typical Testors -- Fast Convex Hull by a Geometric Approach -- An Experimental Study on Ant Colony Optimization Hyper-heuristics for Solving the Knapsack Problem -- A Linear Time Algorithm for Computing #2SAT for Outerplanar 2-CNF Formulas -- Improving the List of Clustered Permutation on Metric Spaces for Similarity Searching on Secondary Memory -- Modelling 3-Coloring of Polygonal Trees via Incremental Satisfiability -- Deep Learning, Neural Networks and Associative Memories -- Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays -- Extreme Points of Convex Polytopes Derived from Lattice Autoassociative Memories -- A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals -- Learning Word and Sentence Embeddings using a Generative Convolutional Network -- Dense Captioning of Natural Scenes in Spanish -- Automated Detection of Hummingbirds in Images: a Deep Learning Approach -- Data Mining -- Patterns in Poor Learning Engagement in Students While They are Solving Mathematics Exercises in an Affective Tutoring System Related to Frustration -- Pattern Discovery in Mixed Data Bases -- Image Clustering based on Frequent Approximate Subgraph Mining -- Validation of Semantic Relation of Synonymy in Domain Ontologies using Lexico-Syntactic Patterns and Acronyms -- Computer Vision -- Scene Text Segmentation Based on Local Image Phase Information and MSER Method -- A Lightweight Library for Augmented Reality Applications -- Point Set Matching with Order Type -- Including Foreground and Background Information in Maya Hieroglyph Representation -- A Fast Algorithm for Robot Localization using Multiple Sensing Units -- Improving Breast Mass Classification through Kernel Methods and the Fusion of Clinical Data and Image Descriptors -- An Improved Stroke Width Transform to Detect Race Bib Numbers -- Scaled CCR Histogram for Scale-invariant Texture Classification
    Additional Edition: ISBN 9783319921976
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-92197-6
    Additional Edition: Erscheint auch als Druck-Ausgabe:
    Language: English
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