| Description |
1 online resource (xix, 661 pages) : illustrations |
| Series |
Lecture Notes in Computer Science, 0302-9743 ; 9242 |
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
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Lecture notes in computer science ; 9242. 0302-9743
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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| Contents |
Intro; Preface; Organization; Contents -- Part I; Contents -- Part II; Fast and Accurate Text Detection in Natural Scene Images; 1 Introduction; 2 Scene Text Detection Algorithm; 2.1 Repeating Components Filtering Using MSER Tree Pruning; 2.2 Non-characters Filtering Using Bayesian Multi-cue Integration; 2.3 Character Candidates Grouping; 3 Experimental Results; 4 Conclusion; References; Orthogonal Procrustes Problem Based Regression with Application to Face Recognition with Pose Variations; Abstract; 1 Introduction; 2 Literature Review of Orthogonal Procrustes Problem |
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3 Orthogonal Procrustes Problem Based Regression3.1 The Left Side OPP Based Regression; 3.2 The Right Side OPP Based Regression; 3.3 The Bilateral OPP Based Regression; 4 Algorithm; 5 Experiments; 5.1 Experiments on the CMU PIE Database; 5.2 Experiments on the CMU Multi-PIE Database; 6 Conclusion; References; A New Fisher Discriminative K-SVD Algorithm for Face Recognition; 1 Introduction; 2 Fisher Discrimination K-SVD Algorithm (FD-KSVD); 2.1 Fisher Discrimination K-SVD Model; 2.2 Optimization; 2.3 Classification; 3 Experiments; 3.1 Extended YaleB Database; 3.2 AR Database; 4 Conclusion |
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2.2.2 Semi Random Patches Sampling2.2.3 Feature Vectors; 2.3 Facial Expression Recognition; 3 Experiments; 3.1 Experimental Setup; 3.2 Experimental Results; 3.3 Recognition with Noise and Occlusion; 4 Conclusions and Future Work; References; Band Selection of Hyperspectral Imagery Using a Weighted Fast Density Peak-Based Clustering Approach; Abstract; 1 Introduction; 2 The Fast Density Peak-Based Clustering Algorithm (FDPC); 3 The Weighted Fast Density Peak-Based Clustering Algorithm (W-FDPC); 4 Experimental Results; 5 Conclusion; References |
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Modified Supervised Kernel PCA for Gender Classification1 Introduction; 1.1 Prior Work; 1.2 Contribution of Work; 1.3 Overview; 2 Supervised Kernel PCA; 2.1 Modified Link Matrix L; 3 Experiment; 3.1 Preliminary Simulation Study; 3.2 Face Aging Database; 3.3 Experiment; 3.4 Results; 4 Conclusion; References; Fast Film Genres Classification Combining Poster and Synopsis; Abstract; 1 Introduction; 1.1 Related Work; 1.2 Our Work; 2 Proposed Method; 3 Feature Extraction; 3.1 Image Feature; 3.2 Text Feature; 3.3 Classification; 4 Experiments; 4.1 Dataset; 4.2 The Result of Experiments |
| Summary |
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 |
| Notes |
English |
| Subject |
Artificial intelligence -- Congresses
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Computer science.
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Image processing.
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Electronic Data Processing
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image processing.
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Artificial intelligence
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Computer science
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Image processing
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| Genre/Form |
dictionaries.
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proceedings (reports)
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Dictionaries
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Conference papers and proceedings
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Dictionaries.
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Conference papers and proceedings.
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Dictionnaires.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
He, Xiaofei, editor.
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Gao, Xinbo, editor
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Zhang, Yanning (Computer scientist), editor.
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Zhou, Zhi-Hua (Computer scientist), editor.
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Liu, Zhiyong, 1946- editor.
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Fu, Baochuan, editor
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Hu, Fuyuan, editor
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Zhang, Zhancheng, editor
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| ISBN |
9783319239897 |
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3319239899 |
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