Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2019
Computational Intelligence in Pattern Recognition : Proceedings of CIPR 2019
edited by Asit Kumar Das, Janmenjoy Nayak, Bighnaraj Naik, Soumen Kumar Pati, Danilo Pelusi
- First edition
- 1 recurso en línea (XXVIII, 1046 páginas) 457 ilustraciones, 297 ilustraciones a color
- Advances in Intelligent Systems and Computing 999 2194-5357 Technologies and Robotics (Springer-42732) .
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.
9789811390425
10.1007/978-981-13-9042-5 doi
Inteligencia artificial
Reconocimiento de formas
Agentes inteligentes (Programas de ordenador)
TK7882 .P3 / 2020 EB
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.
9789811390425
10.1007/978-981-13-9042-5 doi
Inteligencia artificial
Reconocimiento de formas
Agentes inteligentes (Programas de ordenador)
TK7882 .P3 / 2020 EB