Titlebook: Machine Intelligence and Signal Processing; Proceedings of Inter Sonali Agarwal,Shekhar Verma,Dharma P. Agrawal Conference proceedings 2020

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2194-5357 tions for studying human brain disorders.Serves as a valuabl.This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), held at the Indian Institute of Technology, Allahabad, India, on September 7–10,

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Ring Partition-Based Fingerprint Indexing Algorithm,exing mechanism is proposed to speed up the process of identification of fingerprints. In this model, concentric circles are made around the core of a fingerprint, and by grouping the fingerprints according to the number of minutiae points in each of these rings, we can select the best prospective f

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A Novel Approach for Music Recommendation System Using Matrix Factorization Technique,p management. Music is a subject used widely across the world in different aspects of life. Music recommender systems help users to listen to the right choice of music. With the advent of mobile devices and Internet, access to different music resources is easily available. In this paper, we provide

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Generation of Image Captions Using VGG and ResNet CNN Models Cascaded with RNN Approach,has generated a tremendous visual data, which has made a necessity to organize and understand this visual data. Thus, there is a need to caption thousands of such images. This has resulted in tremendous research in computer vision and deep learning. Inspired by such recent works, we present an image

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Face Classification Across Pose by Using Nonlinear Regression and Discriminatory Face Information,lusion during pose variations. The sole application of linear regression model in face recognition across pose is unable to predict the occluded features from the remaining visible features. With the approach like discriminative elastic-net regularization (DENR), the training sample’s discriminatory

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Emotion Recognition from Facial Images for Tamil Language Speakers,ns. Facial expressions are the visual methods to convey emotions. Facial expressions of a person at different instances are not the same. Emotions can be understood by text, vocal, verbal and facial expressions. Automatic recognition of facial expressions is important for human–machine interfaces. I

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