Pattern Recognition and Machine Intelligence

9th International Conference, PReMI 2021, Kolkata, India, December 15–18, 2021, Proceedings

AvAshish Ghosh,Irwin King

Häftad, Engelska, 2024

Del 13102 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-07-24
Mått:155 x 235 x 36 mm
Vikt:1 001 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:619
Upplaga:2024
Förlag:Springer International Publishing AG
ISBN:9783031126994

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.