Intelligent Learning for Computer Vision

Development of Inter-Ethnic Harmony Search Algorithm based on Inter-Ethnic Reconciliation.- A Low-Cost Embedded Computer Vision System for the Classification of Recyclable Objects.- An Optimal Feature Selection Approach based on IBBO for Histopathological Image Classification.- Accuracy Evaluation of Plant Leaf Disease Detection and Classification using GLCM and Multiclass SVM Classifier.- A Deep Learning Technique for Automatic Teeth Recognition in Dental Panoramic X-Ray Images  Using Modified Palmer Notation System.- Detection of Parkinson's disease from hand-drawn images using Deep Transfer Learning.- An Empirical Analysis of Hierarchical and Partition Based Clustering Techniques in Optic Disc Segmentation.- Multi Class Support Vector Machine Based Household Object Recognition System Using Features Supported by Point Cloud Library.- Initialization of MLP Parameters using Deep Belief Networks for Cancer Classification.- An Improved Inception Layer Based Convolutional Neural Network For Identifying Rice Leaf Diseases.- Design & Implementation of Traffic Sign Classifier Using Machine Learning Model.- Designing controller parameter of wind turbine emulator using artificial bee colony algorithm.- Text-Document Orientation Detection Using Convolutional Neural Networks.- A Deep Learning based Segregation of Housing Image data for Real Estate application.

Harish Sharma is Associate Professor at Rajasthan Technical University, Kota, in the Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University Kota and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degree in Computer Engineering from Government of Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is Secretary and one of the founder members of Soft Computing Research Society of India. He is a lifetime member of Cryptology Research Society of India, ISI, Kolkata. He is Associate Editor of "International Journal of Swarm Intelligence (IJSI)" published by Inderscience. He has also edited special issues of the many reputed journals like "Memetic Computing", "Journal of Experimental and Theoretical Artificial Intelligence", and "Evolutionary Intelligence". Hisprimary area of interest is nature-inspired optimization techniques. He has contributed to more than 65 papers published in various international journals and conferences. Dr. Mukesh Saraswat is Associate Professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat has obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 18 years of teaching and research experience. He has guided 02 Ph.D. students, more than 50 M.Tech. and B.Tech. dissertations, and presently guiding 05 Ph.D. students. He has published more than 40 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was the part of successfully completed DRDE funded project on image analysis and currently running two projects funded by SERB-DST (New Delhi) on Histopathological Image Analysis and Collaborative Research Scheme (CRS), under TEQIP III (RTU-ATU) on Smile. He has been an active