MARC details
000 -LIDER |
fixed length control field |
08755nam a22006495i 4500 |
001 - CONTROL NUMBER |
control field |
978-3-031-12700-7 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250516160107.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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240723s2024 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783031127007 |
-- |
978-3-031-12700-7 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TA1501-1820 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
TA1634 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYT |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM016000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYT |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006 |
Edition number |
23 |
245 10 - TITLE STATEMENT |
Title |
Pattern Recognition and Machine Intelligence |
Medium |
[electronic resource] : |
Remainder of title |
9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021, Proceedings / |
Statement of responsibility, etc. |
edited by Ashish Ghosh, Irwin King, Malay Bhattacharyya, Shubhra Sankar Ray, Sankar K. Pal. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2024. |
264 #1 - |
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Cham : |
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Springer International Publishing : |
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Imprint: Springer, |
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2024. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
LI, 619 p. 212 illus., 174 illus. in color. |
Other physical details |
online resource. |
336 ## - |
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text |
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txt |
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rdacontent |
337 ## - |
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computer |
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c |
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rdamedia |
338 ## - |
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online resource |
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cr |
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rdacarrier |
347 ## - |
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text file |
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PDF |
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rda |
490 1# - SERIES STATEMENT |
Series statement |
Lecture Notes in Computer Science, |
International Standard Serial Number |
1611-3349 ; |
Volume/sequential designation |
13102 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
1 Image Processing -- Image Quality Assessment using Combination of Deep Convolutional Neural Networks -- Blind Image Forgery Detection using LBP and Statistical Moments -- Edge Detection in Gray Scale Images using Partial Sum of Second Order Taylor Series Expansion -- Image Re-Attentionizing Using Particle Swarm Optimization -- Auto-Encoder Guided Attention based Network for Hyperspectral Recovery from Real RGB Images -- 2 Text, Voice and Video Processing -- Raga Classification in Carnatic Music Using Audio Thumbnailing -- Wavelet Residual Learning for Efficient Future Frame Prediction from Natural Video Sequences -- Voice Privacy Through Time-Scale and Pitch Modification -- Abusive Speech Detection and Politeness Transfer -- Voice Liveness Detection using Bump Wavelet with CNN -- 3 Bioinformatics -- Classification of Task Evoked fMRI Signals using Temporal Characteristics of Brain Regions -- Ensemble Models for Multi-class Classification of Diabetic Retinopathy -- Identification of Potential Biomarkers using Integrative Approach: An application of ESCC -- Autoencoder Assisted Cancer Subtyping by Integrating Multi-omics Data -- ADHDNet: A DNN based Framework for Efficient Early ADHD Detection from fMRI Dataset -- 4 Deep Learning -- Multi-Stage Transfer Learning Based Yoga Pose Recognition using CNN -- Autoencoder and Extreme Learning Machine based Deep Multi-label Classifier -- Neural Pooling for Graph Neural Networks -- Pedestrian Detection and Movement Direction Recognition with Convolutional Neural Network -- Deep Learning Based Tree Detection and Counting for Remotely Sensed Images -- CateReR: A Graph Neural Network-based Model for Category-wise Reliability-aware Recommendation -- 5 Medical Image Processing -- Attention Assisted Patch-wise CNN for the Segmentation of Fluids from the Retinal Optical Coherence Tomography Images -- A Reinforcement Learning Framework for Lung Segmentation of COVID-19 and Pneumonia Affected Chest X-Ray Image -- Deep and Bio-Inspired spiking Neural Networks based Optimized Multimodal Neurological Image Fusion Model -- Model Compression Techniques for Atrial Fibrillation Detection on Mobile Devices -- Speckle de-noising with Local Oriented Structure for Edge Preservation in Ultrasound Images -- 6 Theory and Models -- Magnetic Resonance Imaging via weighted $\ell_{1-p}$ minimization -- Spherical Separability : Associative Memories -- Addressing Issues in Training Neural ExtractiveSummarisation Models -- Metrics from Fuzzy Implications and their Application -- STATS-BERT: An Enhanced BERT Model with Statistical Masking for Improved Transfer Performance -- 7 Feature Selection -- Super-Resolution Model Using Multi Directional Structure Integrity Prior -- Stateful MapReduce Framework for mRMR Feature Selection using Horizontal Partitioning -- Analysis of Lombard Effect by using Hybrid Visual Features for ASR -- Adverse Event Classification from Co-prescribed Drugs by Integrating Chemical, Phenotypic and Graph Embedding Features -- Enhancing EEG-Based Emotion Recognition using Multi Domain Features and Genetic Algorithm based Feature Selection -- 8 Biometrics and Dermoscopy -- A Novel Cancelable Fingerprint Template Generation Mechanism using Visual Secret Sharing -- Re-calibrated Attention-based Deep Learning Technique for Dermoscopic Lesion Segmentation -- An Enhanced Generative Adversarial Network model for Fingerprint Presentation Attack Detection -- Rank Level Fusion of Multimodal Biometrics Using Particle Swarm Optimization -- 9 Facial Image Analysis -- Wavelet Based Convolutional Neural Network for Face Anti-Spoofing -- MaskMTL: Attribute Prediction in Masked Facial Images with Deep Multitask Learning -- Masked Face Detection for Effective COVID-19 Containment: A Light Convolution Neural Network based Model -- Petersen Graph based Binary Pattern for Person Independent Facial Expression Recognition -- Restoring Face Occluded Images Using GAN Based Inpainting with Perceptual and Contextual Losses -- 10 Object and Event Detection -- Salient Object Detection in Hyperspectral Images Using Felzenswalb's Segmentation Algorithm -- Automated Proctoring based on Head Orientation Analysis and Object Detection -- A Hybrid Network for Scanned Floor Plan Image Recognition and Room Labeling -- An Effective Real-time Surveillance System for Fire and Smoke Detection Using CNN -- Spatial-SMOTE: An Approach for Handling Class Imbalance in Spatial Time Series Data -- An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data -- 11 Pattern Recognition -- Automated Seed Quality Testing System using GAN and Active Learning -- Stochastic Quasi-Newton Minimum Complexity Machine for Pattern Classification -- Semi-supervised Learning using Variational Autoencoder - A Cluster based Approach -- Non-Episodic Variational Discriminative Few-Shot Classifier -- PReLim: A Modeling Paradigm for Remote Sensing Image Scene Classification under Limited Labeled Samples -- 12 Machine Learning Applications -- Towards Automatic Defect Detection in Sugarcane Billets from Images -- DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks -- Legal Case Retrieval using SVM Classifier -- Topic Evolution Model for Interactive Information Search -- Interactive System for Toddlers using Doodle Recognition -- HORIE: Helpfulness of Online Reviews with Improved Embedding. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This book constitutes the refereed proceedings of the 9th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually. The 62 full papers included in this book were carefully reviewed and selected from 215 submissions. They were organized in topical sections as follows: image processing; text, voice and video processing; bioinformatics; deep learning; medical image processing; theory and models; feature selection; biometrics and dermoscopy; facial image analysis; object and event detection; pattern recognition; machine learning applications. |
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Owner |
UABC ; |
Method of acquisition |
Perpetuidad |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Image processing |
Subdivisión general |
Digital techniques. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer vision. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Data mining. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Algorithms. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer Imaging, Vision, Pattern Recognition and Graphics. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Data Mining and Knowledge Discovery. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Design and Analysis of Algorithms. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Ghosh, Ashish. |
Relator term |
editor. |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
King, Irwin. |
Relator term |
editor. |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Bhattacharyya, Malay. |
Relator term |
editor. |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Sankar Ray, Shubhra. |
Relator term |
editor. |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
K. Pal, Sankar. |
Relator term |
editor. |
Relator code |
edt |
-- |
http://id.loc.gov/vocabulary/relators/edt |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783031126994 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783031127014 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Lecture Notes in Computer Science, |
-- |
1611-3349 ; |
Volume number/sequential designation |
13102 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-12700-7 |
912 ## - |
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ZDB-2-SCS |
912 ## - |
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ZDB-2-SXCS |
912 ## - |
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ZDB-2-LNC |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Libro Electrónico |