Titlebook: Computer Vision and Image Processing; 4th International Co Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian Conference proceedings 2020 S

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書目名稱Computer Vision and Image Processing影響因子(影響力)




書目名稱Computer Vision and Image Processing影響因子(影響力)學(xué)科排名




書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度




書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision and Image Processing被引頻次




書目名稱Computer Vision and Image Processing被引頻次學(xué)科排名




書目名稱Computer Vision and Image Processing年度引用




書目名稱Computer Vision and Image Processing年度引用學(xué)科排名




書目名稱Computer Vision and Image Processing讀者反饋




書目名稱Computer Vision and Image Processing讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-1-4302-2642-0mation from them. A key step used in image processing involves the removal of different kinds of noises from the images. Noises can arise in an image during the process of storing, transmitting or acquiring the images. A model qualifies as a satisfactory de-noising model if it satisfies image preser

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https://doi.org/10.1007/978-1-4302-2642-0alyzing and studying handwriting is .. The prime features of handwriting such as margins, slanted, the baseline can tell the characteristics of a writer. The writer handwriting analysis reveals strokes and patterns through which identification and understanding the personality of a writer is possibl

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Restrict Physical Access to Cardholder Data,llular characteristics of the cells of a suspicious breast tumor. A computer-aided automatic classifier with the help of machine learning can improve the diagnosis system in terms of accuracy and time consumption. These types of system can automatically distinguish a benign and malignant pattern in

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The Definitive Guide to PCI DSS Version 4sponding to the legitimate user. Thus, it is essential to develop a Presentation Attack Detection (PAD) algorithms that can automatically detect the presentation attacks the face recognition systems. In this paper, we present a novel method for face presentation attack detection based on the multi-c

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https://doi.org/10.1007/978-1-4302-1894-4y driver being sleepy. A drowsiness detection solution should be very accurate and run in real-time. All the existing deep learning solutions for drowsiness detection are computationally intensive and cannot be easily implemented on embedded devices. In this paper, we propose a real-time driver drow

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Managing Security and Workflowsy diet. If we can predict a stroke in its early stage, then it can be prevented. In this paper, we evaluate five different machine learning techniques to predict stroke on Cardiovascular Health Study (CHS) dataset. We use Decision Tree (DT) with the C4.5 algorithm for feature selection, Principal Co