Vipul Kumar Mishra

Bio: Vipul Kumar Mishra is an academic researcher from Bennett University. The author has contributed to research in topics: Computer science & Design space exploration. The author has an hindex of 9, co-authored 45 publications receiving 326 citations. Previous affiliations of Vipul Kumar Mishra include Indian Institutes of Technology & Allahabad University.

A comprehensive survey on model compression and acceleration

Abstract: In recent years, machine learning (ML) and deep learning (DL) have shown remarkable improvement in computer vision, natural language processing, stock prediction, forecasting, and audio processing to name a few. The size of the trained DL model is large for these complex tasks, which makes it difficult to deploy on resource-constrained devices. For instance, size of the pre-trained VGG16 model trained on the ImageNet dataset is more than 500 MB. Resource-constrained devices such as mobile phones and internet of things devices have limited memory and less computation power. For real-time applications, the trained models should be deployed on resource-constrained devices. Popular convolutional neural network models have millions of parameters that leads to increase in the size of the trained model. Hence, it becomes essential to compress and accelerate these models before deploying on resource-constrained devices while making the least compromise with the model accuracy. It is a challenging task to retain the same accuracy after compressing the model. To address this challenge, in the last couple of years many researchers have suggested different techniques for model compression and acceleration. In this paper, we have presented a survey of various techniques suggested for compressing and accelerating the ML and DL models. We have also discussed the challenges of the existing techniques and have provided future research directions in the field.

Corporate Social Responsibility: A Case Study Of TATA Group

Abstract: Starting from the times of barter system to today's modern era of plastic money, the mankind has trodden a remarkably long path. Undoubtedly "profitability" has always been the driving force and an undercurrent behind all this development; but as every coin has two facets; growing cut throat competition and business rivalries started taking heavy toll on the quality, transparency, environment and the society in general endangering the peaceful coexistence of business and society. The businesses houses started realizing that they would have to rise over and above the profitability and take care of all those associated with their survival in the society directly or indirectly. This realization resulted into the concept of Corporate Social Responsibility (CSR). This research paper moves around developing an understanding about the corporate social responsibility (CSR), delving into its concept and finding out its scope taking the case study of the TATA Group under Mr. Ratan Tata who has exemplified the sense of responsibility towards the upliftment of common masses and protection of the environment and development of the nation.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

Abstract: From the Publisher: The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

The Concept of Corporate Strategy

Abstract: The Concept of Corporate Strategy. Por Kenneth R. Andrews. Homewood, III.: R. D. Irwin, 1980 Revised Ed. xi, 180 p.; 24 cm. Incluye referencias e indice. ISBN 0-256-02371-9.