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.

Format:

Book

Contributor:

Ghosh, Ashish, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13102

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

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.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Design and Analysis of Algorithms.

Physical Description:

1 online resource (639 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2024.

Summary:

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.

Contents:

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.

Notes:

Includes index.

ISBN:

9783031127007