Keywords:
Pattern recognition systems-Congresses.
;
Electronic books.
Type of Medium:
Online Resource
Pages:
1 online resource (550 pages)
Edition:
1st ed.
ISBN:
9783319588384
Series Statement:
Lecture Notes in Computer Science Series ; v.10255
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=6306542
DDC:
006.42
Language:
English
Note:
Intro -- Preface -- Organization -- Contents -- Pattern Recognition and Machine Learning -- Ordinal Class Imbalance with Ranking -- 1 Introduction -- 2 Method -- 2.1 Ordinal Classification -- 2.2 Ranking for Ordinal Class Imbalance -- 2.3 Threshold for Ordinal Classes -- 3 Experiments -- 3.1 Evaluation Metrics -- 3.2 Data -- 3.3 Models -- 4 Results -- 5 Conclusion -- References -- Performance Metrics for Model Fusion in Twitter Data Drifts -- 1 Introduction -- 2 Background -- 2.1 Ensembles -- 2.2 Social Networks: Twitter Case Study -- 3 Proposed Approach -- 4 Experimental Setup -- 5 Experimental Results -- 6 Conclusions -- References -- Online Learning of Attributed Bi-Automata for Dialogue Management in Spoken Dialogue Systems -- 1 Introduction -- 2 Attributed Probabilistic Finite State Bi-Automata as Dialogue Manager -- 2.1 Interactive Pattern Recognition Framework -- 2.2 Probabilistic Finite State Bi-Automata -- 2.3 Dealing with Unseen Situations -- 2.4 Modeling the Dialogue Manager -- 2.5 Modeling the User -- 3 Online Learning -- 4 Setup and Experiments -- 4.1 Corpus Description -- 4.2 Impact of the Attributes and the User Model -- 4.3 Online Learning Procedure -- 5 Conclusions and Future Work -- References -- Log-Linear Weight Optimization Using Discriminative Ridge Regression Method in Statistical Machine Translation -- 1 Introduction -- 2 Related Work -- 3 Discriminative Rigde Regression for SMT -- 3.1 Sentence-Based Optimisation in DRR -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Corpora -- 4.3 Comparison Between DRR and MERT and MIRA -- 5 Conclusion and Future Work -- References -- Deep Convolutional Neural Networks and Maximum-Likelihood Principle in Approximate Nearest Neighbor Search -- Abstract -- 1 Introduction -- 2 Proposed Algorithm -- 3 Experimental Results -- 4 Conclusion -- Acknowledgements -- References.
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BMOG: Boosted Gaussian Mixture Model with Controlled Complexity -- 1 Introduction -- 2 Selection of Color Space -- 3 Background Model -- 3.1 Pixel Classification with Hysteresis -- 3.2 Dynamic Learning Rate -- 3.3 Embedded Post-processing -- 4 Experimental Setup -- 5 Results and Discussion -- 6 Conclusion -- References -- Measuring the Quality of Annotations for a Subjective Crowdsourcing Task -- 1 Introduction -- 2 Definition of the Task and the Annotation Procedure -- 3 Measuring the Annotations Quality -- 3.1 Measures Related to the Time Employed in the Annotation -- 3.2 Measures Related to the Interannotator Agreement -- 3.3 Measures Related to the Given Responses -- 3.4 Algorithm for the Detecion of Low Quality Data -- 4 Experiments and Results -- 5 Conclusions -- References -- Pre-trained Convolutional Networks and Generative Statistical Models: A Comparative Study in Large Datasets -- 1 Introduction -- 2 Methodology -- 2.1 Cross-Validation Scheme and Testing -- 3 Results -- 4 Conclusion -- References -- Simple and Effective Multi-word Query Spotting in Handwritten Text Images -- 1 Introduction -- 2 Single-Word Probabilistic Indexing -- 3 Multi-keyword Spotting -- 4 Experimental Setup -- 4.1 Dataset -- 4.2 Query Selection -- 4.3 KWS Evaluation Measures -- 4.4 System Setup -- 5 Results and Discussion -- 6 Demonstration System -- 7 Remarks, Conclusion and Future Work -- References -- Computer Vision -- Recognizing Activities of Daily Living from Egocentric Images -- 1 Introduction -- 2 Activity Classification -- 3 Dataset -- 4 Methodology -- 4.1 Ensemble Configurations -- 5 Results -- 6 Conclusion -- References -- Strategies of Dictionary Usages for Sparse Representations for Pedestrian Classification -- 1 Introduction -- 2 Methodology -- 3 Experiments -- 3.1 Results -- 4 Conclusions -- References -- What Do Datasets Say About Saliency Models?.
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1 Introduction -- 2 Datasets, Models and Relative Performance -- 2.1 Selection of Computational Saliency Models -- 2.2 Measures of Relative Performance -- 3 Our Approach -- 3.1 Video Clustering -- 3.2 Gaining Further Insights -- 4 Results -- 5 Conclusions -- References -- Combining Defocus and Photoconsistency for Depth Map Estimation in 3D Integral Imaging -- 1 Introduction -- 2 Overview of Integral Imaging -- 3 Depth Estimation Approaches -- 3.1 Depth Estimation Using Variance Minimisation -- 3.2 Combining Defocus and Correspondence for Depth Estimation -- 3.3 Depth Regularisation -- 4 Results -- 5 Conclusions -- References -- Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection -- 1 Introduction -- 2 Proposed Method -- 2.1 Datasets and Proposals Extraction -- 2.2 Input Channels -- 2.3 Convolutional Neural Networks -- 2.4 CNN Architecture -- 2.5 Ensemble Classification -- 3 Experiments -- 3.1 Caltech Dataset -- 3.2 INRIA Dataset -- 3.3 Results -- 4 Discussion and Conclusions -- References -- Human Pose Estimation by a Series of Residual Auto-Encoders -- 1 Introduction -- 2 Related Work -- 3 Person Pose Estimation -- 3.1 Model Architecture -- 4 Implementation, Tests and Results -- 4.1 Implementation Details -- 4.2 Datasets and Quantitative Analysis -- 5 Conclusions -- References -- Context-Aware Distance for Anomalous Human Trajectories Detection -- 1 Introduction -- 2 Method -- 2.1 Features Extraction -- 2.2 Configurable Distance -- 2.3 Unsupervised Learning -- 2.4 Outliers Detection -- 3 Experiments -- 3.1 INVISUM Data Base -- 3.2 BARD Data Set -- 4 Conclusions -- References -- A Historical Document Handwriting Transcription End-to-end System -- 1 Introduction -- 2 System Overview -- 2.1 Preprocessing -- 2.2 Layout Analysis -- 2.3 Handwritten Text Recognition -- 2.4 Computer Assisted Transcription of Text Images.
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3 The RSEAPV Database -- 4 Experimental Framework -- 4.1 System Setup -- 4.2 Assessment Measures -- 5 Empirical Results -- 6 Conclusions and Future Work -- References -- Image and Signal Processing -- Interactive Layout Detection -- 1 Introduction -- 2 Interactive Layout Analysis -- 3 Experiments and Results -- 3.1 Corpus -- 3.2 Evaluation Measures -- 3.3 Models -- 3.4 Results -- 4 Conclusions and Future Work -- References -- Impact of the Acquisition Time on ECG Compression-Based Biometric Identification Systems -- 1 Introduction -- 1.1 Motivation -- 1.2 Database Used -- 1.3 Compression-Based Measures -- 2 Method -- 2.1 R-peak Detection -- 2.2 Quantization -- 2.3 Compressing Using Finite-Context Models -- 3 Experimental Results -- 4 Conclusions and Future Work -- References -- Z-Images -- 1 Introduction -- 2 Zeckendorf Encoding -- 2.1 Zeckendorf's Theorem -- 2.2 Z-Representation -- 3 Proposed Algorithm for Z-Coding -- 4 Results and Discussion -- 5 Conclusion -- References -- Oversegmentation Methods: A New Evaluation -- 1 Introduction -- 2 State-of-the-Art Methods -- 3 New Oversegmentation Evaluation Benchmark -- 4 Experimental Results -- 5 Conclusion and Perspectives -- References -- ASARI: A New Adaptive Oversegmentation Method -- 1 Introduction -- 2 ASARI: A Region Merging Algorithm -- 3 Experimental Results -- 4 Conclusion -- References -- A New Normalized Supervised Edge Detection Evaluation -- 1 Importance of a New Error Measure -- 2 Supervised Image Contour Evaluations -- 2.1 Error Measures Involving Only the Confusion Matrix -- 2.2 Assessment Involving Distances of Misplaced Pixels -- 2.3 Normalization of the Edge Detection Evaluation -- 3 Experimental Results -- 4 Conclusion and Future Works -- References -- Medical Image -- Similarity Metrics for Intensity-Based Registration Using Breast Density Maps -- 1 Introduction -- 2 Methodology.
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2.1 Registration Methods -- 2.2 Similarity Metrics -- 2.3 Metric Evaluation -- 3 Results -- 4 Discussion and Conclusion -- References -- Registration of Breast Surface Data Before and After Surgical Intervention -- 1 Introduction -- 2 Proposed Methodology -- 3 Experimental Results -- 4 Conclusions -- References -- Visualization of Distinct DNA Regions of the Modern Human Relatively to a Neanderthal Genome -- 1 Introduction -- 2 Method -- 2.1 Choosing the Model -- 2.2 Algorithm -- 2.3 Implementation -- 3 Results -- 4 Conclusions -- References -- Transfer Learning with Partial Observability Applied to Cervical Cancer Screening -- 1 Introduction -- 2 Proposed Method -- 2.1 Partial Model Transfer: Sign Regularization -- 3 Experiments -- 3.1 Risk Factors -- 3.2 Quality Assessment -- 4 Conclusions -- References -- Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy -- 1 Introduction -- 2 Preliminary Definitions -- 2.1 Investigative Techniques -- 2.2 Injuries -- 3 Proposed Methodology -- 3.1 Deep Learning Strategies -- 3.2 Strategy Based on Hand-Crafted Features -- 4 Experiments -- 5 Conclusions -- References -- On the Approximation of the Kolmogorov Complexity for DNA Sequences -- 1 Introduction -- 2 Methods -- 2.1 Assessment of Normality -- 2.2 Complexity of Genomes -- 3 Results -- 4 Conclusions -- References -- Prediction of Breast Deformities: A Step Forward for Planning Aesthetic Results After Breast Surgery -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Database -- 2.2 Regression Models -- 3 Experimental Results -- 3.1 Optimization of Regression Models -- 3.2 Prediction of Ptosis, Turn and Top-Shape Deformations -- 4 Conclusions -- References -- Applications -- Staff-Line Detection on Grayscale Images with Pixel Classification -- 1 Introduction -- 2 Staff-Line Detection on Grayscale Images with Pixel Classification.
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3 Experimentation.
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