Conference Information
MIND 2019: International Conference on Machine Learning, Image Processing, Networks and Data Sciences
http://www.mind2019.in
Submission Date:
2018-12-15 Extended
Notification Date:
2018-12-30
Conference Date:
2019-03-03
Location:
Kurukshetra, India
Years:
1
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Conference Location
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Call For Papers
Original contributions are invited from prospective authors with interests in the indicated conference topics and related areas of application. All contributions should be high quality, original and not published elsewhere or submitted for publication during the review period. Every submission must identify the conference track which best relates to the contents of the paper. Papers will be peer reviewed by the International Program Committee, and may be accepted for long and short presentation.

We solicit original research and technical papers not published elsewhere. The papers can be theoretical, practical and application oriented on the following conference tracks (but not limited to).

Best Paper Awards

The Best Paper Awards will be given to the authors which will be selected by the committee among the papers/posters presented in MIND-2019. The Best Paper Awards Committee will be recommended by the advisory committee and the nominees will be evaluated based on scientific contribution, writing/presentation style, reviewers comments etc. The “Best Paper Awards” will be given for each track/discipline.

Conference Tracks

Machine Learning and Computational Intelligence

    Theoretical Computer Science
    Artificial Intelligence
    Pattern recognition
    Computer Graphics
    Virtual Reality
    Distributed & Cloud Computing
    Signal Processing
    Software Architecture
    Soft Computing
    Grid and Cluster Computing
    Evolutionary Algorithms
    Ubiquitous Computing
    Parallel and Distributed Networks
    Perceptual Computing, and related topics
    Learning using Ensemble and boosting strategies
    Active Machine Learning
    Manifold Learning
    Fuzzy Learning
    Kernel Based Learning
    Genetic Learning
    Hybrid models
    Bioinformatics and biomedical informatics
    Healthcare and clinical decision support
    Collaborative filtering
    Information retrieval
    Natural language processing
    Web search
    Inference dependencies on multi-layered networks
    Recurrent Neural Networks and its applications
    Graph wavelets
    Spectral graph theory
    Self-organizing networks 
    Multi-scale learning
    Unsupervised feature learning 
    Clustering, Classification and regression methods
    Supervised, semi-supervised and unsupervised learning
    Reinforcement Learning
    Optimization methods
    Parallel and distributed learning
    Adaptive and dynamic shrinking
    Pattern summarization
    Graph embeddings
    Graph mining methods
    Fuzzy approaches to parameter estimation
    Genetic optimization
    Bayesian estimation approaches
    Boosting approaches to Transfer learning
    Recurrent Neural Networks

Image Processing and Computer Vision

    Filtering, Transforms, Multi-Resolution Processing
    Restoration, Enhancement, Super-Resolution
    Computer Vision Algorithms and Technologies
    Compression, Transmission, Storage, Retrieval
    Multi-View, Stereoscopic, and 3D Processing
    Multi-Temporal and Spatio-Temporal Processing
    Biometrics, Forensics, and Content Protection
    Biological and Perceptual-based Processing
    Medical Image and Video Analysis
    Document and Synthetic Visual Processing
    Color and Multispectral Processing
    Computational Imaging
    Video Processing and Analytics
    Visual Quality Assessment
    Deep learning for Images and Video
    Human activity recognition
    Software Tools for Imaging
    Image Generation, Acquisition, and Processing
    Image-based Modeling and Algorithms
    Mathematical Morphology
    Image Geometry and Multi-view Geometry
    3D Imaging
    Novel Noise Reduction Algorithms
    Motion and Tracking Algorithms and Applications
    Watermarking Methods and Protection + Wavelet Methods
    Image Data Structures and Databases
    Image Compression, Coding, and Encryption
    Multi-resolution Imaging Techniques
    Multimedia Systems and Applications
    Novel Image Processing Applications
    Camera Networks and Vision
    Machine Learning Technologies for Vision
    Cognitive and Biologically Inspired Vision
    Active and Robot Vision
    Fuzzy and Neural Techniques in Vision
    Novel Document Image Understanding Techniques
    Novel Vision Application and Case Studies

Network Security

    Network Performance Analysis,
    Human factors in security and privacy
    Security and privacy in ad hoc networks
    Machine learning for Biometric security and privacy
    Machine learning for Security and privacy of Web service
    Security and privacy in e-services
    Security and privacy in grid computing
    Security and privacy in mobile systems
    Security and privacy in wireless sensor networks
    Cyber risk and vulnerability assessment
    Cyber-crime and warfare
    Cyber threat analysis and modelling
    Machine learning for Bluetooth, WiFi, WiMax security
    Security and privacy in smart grid and distributed generation systems
    Security and privacy in social applications and networks
    Cyber forensic tools, techniques, and analysis
    Visual analytics for cyber security
    Security and privacy of mobile cloud computing
    Cyber security testbeds, tools, and methodologies
    Active and passive cyber defense techniques
    Insider threat detection and prevention
    Critical infrastructure protection
    Security and privacy in industrial systems
    Security and privacy in pervasive/ubiquitous computing
    Intrusion detection and prevention
    Botnet detection and mitigation

Data Sciences

    Big data management,
    Platforms and technologies for big data,
    Data retrieval,
    Big data storage techniques,
    Data mining and warehouse,
    Data visualization,
    Modelling structure and storage of big data,
    Scalability and portability issues of big data,
    Big data recommender systems,
    Digital Forensics,
    Parallel processing of big data,
    Distributed access of big data,
    Applications of big data and related topics,
    Web mining,
    Social Network Analysis,
    Text Mining,
    Sentiment Analysis.
    Algorithms
    Novel Theoretical Models
    Novel Computational Models
    Data and Information Quality
    Data Integration and Fusion
    Cloud/Grid/Stream Computing
    High Performance/Parallel Computing
    Energy-efficient Computing
    Software Systems
    Search and Mining
    Data Acquisition, Integration, Cleaning
    Data Visualizations
    Semantic-based Data Mining
    Data Wrangling, Data Cleaning, Data Curation, Data Munching
    Data Analysis, , Statistical Insights
    Decision making from insights, Hidden patterns
    Data Science technologies, tools, frameworks, platforms and APIs
    Link and Graph Mining
    Efficiency, scalability, security, privacy and complexity issues in Data Science
    Labelling, Collecting, Surveying, Interviewing and other tools for Data Collection
    Applications in Mobility, Multimedia, Science, Technology, Engineering, Medicine, Healthcare, Finance, Business, Law, Transportation, Retailing, Telecommunication
Last updated by Dou Sun in 2018-12-09
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