عنوان
پدید آورنده
موضوع
رده
TK5102.9 .P76 2019
TK5102
.
9
.
P76
2019
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
3030197387
(Number (ISBN
9783030197384
Erroneous ISBN
9783030197377
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Progress in Computer Recognition Systems /
General Material Designation
[Book]
First Statement of Responsibility
Robert Burduk, Marek Kurzynski, Michał Wozniak, editors.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2019]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Advances in intelligent systems and computing ;
Volume Designation
volume 977
CONTENTS NOTE
Text of Note
2 Related Works3 The Proposed System; 3.1 SUV Separation from Mixture; 3.2 Voiced Speech Separation; 3.3 Unvoiced Speech Separation; 3.4 SUV Re-synthesis; 4 Dataset; 5 Experiments and Results; 5.1 Objective Evaluation Criteria; 5.2 Subjective Evaluation Measures; 6 Conclusion; References; Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes; 1 Introduction; 2 Rule-Based Diagnosis Support; 3 Prototype-Based Rule Premise Conditions; 4 Experiments; 5 Discussion and Conclusions; References
Text of Note
3.2 Pooling Layer Training Experiments4 Discussion; 4.1 Bidirectional Recognition of Multiple Abstraction Features; 4.2 Pooling Layer Training; 4.3 Disadvantages of Bidirectional Recognition; 4.4 Conclusion; References; Factorization Machines for Blog Feedback Prediction; 1 Introduction; 2 Factorization Machines; 3 Experimental Evaluation; 4 Conclusions and Outlook; References; Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning; 1 Introduction; 2 Ensemble Classification; 2.1 Generating the Base Experts; 2.2 Predictions of Experts; 2.3 Ensemble Pruning
Text of Note
3.3 Overview of Investigated Approaches3.4 Discussion of the Most Essential Results; 4 Concluding Remarks; References; Combined kNN Classifier for Classification of Incomplete Data; 1 Introduction; 2 Method; 3 Experiment; 4 Results; 5 Conclusions; References; Object Detection in Design Diagrams with Machine Learning; 1 Introduction; 2 Related Works; 3 Yolo for Object Detection in Engineering Drawings; 3.1 Artificial Apros Experiments; 3.2 Experiments with Real Pöyry Data; 4 Learnings; 5 Conclusions; References; Separation of Speech from Speech Interference Based on EGG; 1 Introduction
Text of Note
Exploiting Label Interdependencies in Multi-label Classification1 Introduction; 2 Related Work; 3 Materials and Methods; 3.1 Proposed Approach; 3.2 Evaluation; 4 Experiments and Discussion; 5 Conclusions; References; Toward Shareable Multi-abstraction-level Feature Extractor Based on a Bayesian Network; 1 Introduction; 1.1 Motivation; 1.2 Shareable Feature Extractor; 1.3 Related Work; 2 Multi-abstraction-level Feature Extractor Using a Bayesian Network (MFB); 2.1 Parameter Reduction; 2.2 Invariance of Pooling by Child; 3 Experimental Results; 3.1 Pattern Extraction Experiments
Text of Note
Intro; Preface; Contents; Graph Grammar Models in Syntactic Pattern Recognition; 1 Introduction; 2 Graph Grammars in Syntactic Pattern Recognition; 3 Computational Complexity of Graph Parsers; 4 Graph Parsing Schemes in Syntactic Pattern Recognition; 5 Concluding Remarks; References; Computer Vision Methods for Non-destructive Quality Assessment in Additive Manufacturing; 1 Introduction; 2 Vision Based Monitoring of 3D Printing Process; 3 Quality Assessment of 3D Printed Surfaces; 3.1 Visual Feedback for Quality Monitoring; 3.2 Description of Experimental Setup
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SUMMARY OR ABSTRACT
Text of Note
This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the most comprehensive study on this field to date, it gathers 36 carefully selected articles contributed by experts on pattern recognition. Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science, artificial intelligence, and robotics.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783030197384
TOPICAL NAME USED AS SUBJECT
Pattern recognition systems.
Signal processing-- Digital techniques.
Pattern recognition systems.
Signal processing-- Digital techniques.
TECHNOLOGY & ENGINEERING-- Mechanical.
(SUBJECT CATEGORY (Provisional
TEC-- 009070
DEWEY DECIMAL CLASSIFICATION
Number
621
.
382/2
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
TK5102
.
9
Book number
.
P76
2019
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Burduk, Robert.
Kurzyński, Marek.
Woźniak, Michał.
ORIGINATING SOURCE
Date of Transaction
20200823091020.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
