[PDF] Top 20 Gait Recognition Using Deep Learning
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Gait Recognition Using Deep Learning
... Neural networks are predictive models loosely based on the action of biological neurons. The selection of the name “neural network” was one of the great PR successes of the Twentieth Century. It certainly sounds more ... See full document
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Video Face Recognition using Deep Learning based Representation
... face recognition in YouTube and PaSC ...and deep learning based feature ...face recognition: Entropy based frame selection, Feature extraction using deep learning ... See full document
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Enhanced Speech Recognition for Indonesian Geographic Dictionary Using Deep Learning
... Dr. Hugeng Hugeng is an Associate Professor at Electrical Engineering Department, Universitas Tarumanagara, Jakarta, Indonesia. His current research interest includes digital signal processing, signal processing for ... See full document
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Optical Character Recognition Using Deep Learning and OpenCV Techniques
... The first prominent piece of OCR software was invented by Ray Kurzweil in 1974 as the software allowed for recognition for any font. This software system used a a lot of developed use of the matrix technique ... See full document
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Real Time Object Recognition and Classification using Deep Learning
... Object Recognition and Classification using Deep Learning", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : ... See full document
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Telugu and Hindi Script Recognition using Deep learning Techniques
... character recognition is intense, yet difficult as the writing varies from person to person and also depends on various other factors connected to the attitude and mood of the ...character recognition. ... See full document
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Human action recognition using transfer learning with deep representations
... transfer learning has been studied as a machine learning technique since long time, for solving the different visual categorization ...transfer learning has attracted a lot of interests in the areas ... See full document
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Face Recognition in Cross spectral Environment using Deep Learning
... Figure 1: Example of NIR images (top row) and visual spectrum (bottom row) from the CASIA database 2.0 [6] In this research work, we have proposed a deep learning- based approach for face recognition ... See full document
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Human Face Detection and Identification using Deep Metric Learning
... face recognition to emulate the human vision ...face recognition area for the past four decades, and enormous progress has been ...face recognition systems have achieved a specific degree of maturity ... See full document
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A Proposed Framework: Face Recognition With Deep Learning
... Metric learning minimizes intraclass variance and helps to maximizes the interclass variance ...face recognition are numerous vision tasks that have greatly benefitted from discriminative representation ... See full document
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Attendance Management System using Deep Learning and Facial Recognition Technique
... level of accuracy and efficiency is obtained. This system will be enforced for higher results concerning the management of group action and leaves. The system can save time, reduce the amount of work the administration ... See full document
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A Survey on Landmark Recognition with Deep Learning
... landmarks using SVM algorithm . It recognizes the picture using contetnt matching ...picture using Bow(bag of words ) this content is matched with the image and GPS location and a result is generated ... See full document
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Journal of Sports Sciences Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance --Manuscript Draft--
... Swimming: pre- processed using Hough transform as in (Sha, Lucey, Morgan, Pease, & Sridharan, 2013) to extract the lanes from colour information. Tennis: excluded unlabelled tennis strokes from input dataset. ... See full document
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Vision based human action recognition using machine learning techniques
... new deep learning model from scratch requires huge amount of data, high computational resources, and hours, in some cases days, of ...apply deep learning models for such ...for learning ... See full document
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Facial Expression Recognition using Deep Learning: A Review
... The daunting task in any deep learning model is fetching the data that suits your requirement. Majority of the standard datasets are composed of near-frontal face poses of good image quality and resolution ... See full document
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Facial Recognition Using Deep Learning Neural Network
... Abstract: By implementing Restricted Boltzmann Machine with the rules of deep learning and deep belief network, a facial recognition system algorithm is proposed. The algorithm will face ... See full document
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Face Recognition Via Skin Fusion Using SVM LBP
... with deep face closing the gap to human level ...of using More features and employing a more powerful metric learning technique ,has addressed this challenge, closing the vast majority of this ... See full document
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Handwritten Digit Recognition Using Deep Learning
... ANDWRITTEN digit recognition is the ability of a computer system to recognize the handwritten inputs like digits, characters etc. from a wide variety of sources like emails, papers, images, letters etc. This has ... See full document
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A Survey on Object Recognition Using Deep Learning
... rеаl world prеsеnt еithеr in а digitаl imаgе or а vidеo, whеrе thе objеct cаn bеlong to аny clаss of objеcts nаmеly humаns, cаrs, еtc. In ordеr to dеtеct аn objеct in аn imаgе or а vidеo thе systеm nееds to hаvе а fеw ... See full document
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Humor Recognition Using Deep Learning
... of deep learning that allows end-to-end training with big data with- out human intervention of feature selection, hu- mor recognition becomes ... See full document
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