Intelligence Science and Big Data Engineering

4th International Conference, IScIDE 2013, Beijing, China, July 31 -- August 2, 2013, Revised Selected Papers
Buch | Softcover
XX, 908 Seiten
2013 | 2013
Springer Berlin (Verlag)
978-3-642-42056-6 (ISBN)

Lese- und Medienproben

Intelligence Science and Big Data Engineering -
106,99 inkl. MwSt
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.

Advanced Variable Window Stereo Matching Algorithm.- Unfocused 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 Sha

Erscheint lt. Verlag 21.11.2013
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo XX, 908 p. 404 illus.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 1395 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Schlagworte Adaptive Dynamic Programming • brain computer interface • Data Compression • multiobjective fuzzy clustering • Super-resolution
ISBN-10 3-642-42056-7 / 3642420567
ISBN-13 978-3-642-42056-6 / 9783642420566
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Modelle für 3D-Druck und CNC entwerfen

von Lydia Sloan Cline

Buch | Softcover (2022)
dpunkt (Verlag)
34,90
Einstieg und Praxis

von Werner Sommer; Andreas Schlenker

Buch | Softcover (2023)
Markt + Technik (Verlag)
19,95