| Description |
1 online resource (622 pages) |
| Series |
Lecture Notes in Computer Science ; v. 11942 |
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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 ; 11942.
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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| Contents |
Intro; Foreword; Preface; Message from the Honorary General Chair; Organization; Abstracts of Invited Talks; Granular Artificial Intelligence: A New Avenue of Artificial Intelligence for Modeling Environment and Pattern Recognition; Imparting Sentiment and Politeness on Computers; Beyond Text Detection and Recognition: Emerging Opportunities in Scene Understanding; Cognitive Analysis Using Physiological Sensing; The Rise of Hate Content in Social Media; How to Escape Saddle Points Efficiently?; Machine Learning and Its Application in Remote Sensing Data Classification Applications |
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Brief History of Topic ModelsIntroduction to Compressed Sensing; Novel Support Vector Machine Algorithms for the Diagnosis of Alzheimer's Disease; Contents -- Part II; Contents -- Part I; Medical Image Processing; On the Study of Childhood Medulloblastoma Auto Cell Segmentation from Histopathological Tissue Samples; Abstract; 1 Introduction; 2 Background; 3 Methods and Materials; 3.1 Study Region; 3.2 Data Collection; 3.3 Ethical Statement; 3.4 Inclusion/Exclusion Criteria; 3.5 Overview of the Work; 4 Results; 5 Discussions; Acknowledgment; References |
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Automated Counting of Platelets and White Blood Cells from Blood Smear ImagesAbstract; 1 Introduction; 2 Literature Review; 3 Objective; 4 Methodology; 5 Results; 6 Discussion; 7 Conclusion; References; An Efficient Method for Automatic Recognition of Virus Particles in TEM Images; 1 Introduction; 2 Proposed Algorithm; 3 Performance Analysis; 3.1 Algorithms Compared; 3.2 Description of Data Set; 3.3 Optimum Values of Different Parameters; 3.4 Comparison with Existing Approaches; 4 Conclusion; References; Detection of Necrosis in Mice Liver Tissue Using Deep Convolutional Neural Network |
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1 Introduction2 Related Works; 3 Pre-processing; 3.1 RGB to Grayscale Conversion; 3.2 Dataset Normalisation; 3.3 Contrast-Limited Adaptive Histogram Equalization (CLAHE); 3.4 Gamma Correction; 4 Proposed Methodology; 4.1 Preparation of Test; 4.2 Model; 5 Training; 6 Result; 7 Conclusion; References; Bayesian Deep Learning for Deformable Medical Image Registration; 1 Introduction; 2 Proposed Architecture; 2.1 Training/Test; 3 Experiments and Results; 3.1 Results on Lung CT Dataset; 3.2 Results on Cardiac Dataset; 4 Conclusion; References |
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Design and Analysis of an Isotropic Wavelet Features-Based Classification Algorithm for Adenocarcinoma and Squamous Cell Carcinoma of Lung Histological ImagesAbstract; 1 Introduction; 2 Methods and Materials; 2.1 Data Set; 2.2 Colour Space Transform and Normalization; 2.3 Wavelet Coefficients Modelling and Similarity Measurement; 2.4 Wavelet Coefficients Modelling and Similarity Measurement; 3 Results and Discussion; 3.1 Goodness of Fit; 3.2 Similarity Measurement of Empirical Distributions of Various Classes; 3.3 Classification Results; 4 Conclusion; References |
| Summary |
The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors |
| Notes |
Optimized Rigid Motion Correction from Multiple Non-simultaneous X-Ray Angiographic Projections |
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International conference proceedings |
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Includes author index |
| Bibliography |
Includes bibliographical references and author index |
| Notes |
Print version record |
| Subject |
Pattern recognition systems -- Congresses
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Artificial intelligence -- Congresses
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Artificial intelligence
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Pattern recognition systems
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Deka, Bhabesh
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Maji, Pradipta, 1976-
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Mitra, Sushmita, 1962-
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Bhattacharyya, Dhruba K.
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Bora, Prabin Kumar.
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Pal, Sankar K.
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| ISBN |
9783030348724 |
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3030348725 |
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