Computational Intelligence in Pattern Recognition [electronic resource] : Proceedings of CIPR 2019 /
Das, Asit Kumar.editor.
Nayak, Janmenjoy.editor.
Naik, Bighnaraj.editor.
Pati, Soumen Kumar.editor.
Pelusi, Danilo.editor.
This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Includes index.
Feature Selection using NSGA-II for Event Extraction on Genetic and Molecular Mechanisms Involved in Plant Seed Development -- An Improved Data Hiding Scheme through Image Interpolation -- Generalization Of Multi-bit Encoding Function based Data Hiding Scheme -- A Study on Reversible Image Watermarking Using Xilinx System Generator -- Statistical Analysis of the UNSW-NB15 Dataset for Intrusion Detection -- Singer Identification using MFCC and CRP features with Support Vector Machines -- Numerical Integration based Contrast Enhancement using Simpson’s Method -- Empirical Analysis of Proximity Measures in Machine Learning -- Music Tagging and Similarity Analysis for Recommendation System -- Elastic Window for Multiple Face Detection and Tracking from Video -- Efficient Energy Management in Microgrids using Flower Pollination Algorithm -- Automatic Multilingual System from Speech.
This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Computational intelligence.
Optical data processing.
Data mining.
Computational Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Data Mining and Knowledge Discovery.