Pattern Recognition and Machine Intelligence : 9th International Conference, PReMI 2021, Kolkata, India, December 15–18, 2021, Proceedings / / edited by Ashish Ghosh, Irwin King, Malay Bhattacharyya, Shubhra Sankar Ray, Sankar K. Pal

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (639 pages)
• Disciplina: 006.3
• Soggetto topico: Image processing - Digital techniques; Computer vision; Data mining; Artificial intelligence; Algorithms; Computer Imaging, Vision, Pattern Recognition and Graphics; Data Mining and Knowledge Discovery; Artificial Intelligence; Design and Analysis of Algorithms
• Persona (resp. second.): GhoshAshish
• Note generali: Includes index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Pattern Recognition and Machine Intelligence
• ISBN: 9783031127007
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910874684103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13102