DSpace at Indian Statistical Institute: Recent submissions

  • Provability of Security and E ciency of Quantum Key Distribution (QKD) Algorithms 
    Bhogan, Vinayak (Indian Statistical Institute, Kolkata, 2019-06)
    With recent developments in quantum communications, much of the focus has been put on development of di erent Quantum Key Distribution(QKD) protocols that can successfully generate a symmetric key over insecure quan- tum ...
  • Sports Video Action Recognition 
    Datta, Santanu (Indian Statistical Institute, Kolkata, 2019-06-30)
    From playing games to driving cars, deep learning has achieved great success in the recent past.In this dissertation, we apply deep learning to recognize sports videos. We have implemented state of the art VGG3D model ...
  • Deep Attention Model for Diabetic Retinopathy Grading 
    Aich, Sourav (Indian Statistical Institute, Kolkata, 2019-07)
    Diabetic Retinopathy is the leading cause of blindness in today's modern world. Early detection of Diabetic Retinopathy is crucial for it's prevention. To speed up the pro- cess of detection, automated systems needs to ...
  • Effects of Social Media in Indian Election 
    Das, Dipayan (Indian Statistical Institute, Kolkata, 2019)
    Social media has a great influence on our social life and extant literature finds that Twitter trends can capture the electoral sentiment. Twitter is a micro-blogging app, is the latest gift of globalization for social ...
  • On coreset construction for K-means clustering of flats and hyperplanes 
    Mukherjee, Abhisek (Indian Statistical Institute, Kolkata, 2020-06)
    Coreset is an important tool to effectively extract information from large amount of data by sampling only a few elements from it, without any substantial loss of the actual information. An -coreset is defined as a ...
  • Efficient Relay Selection Techniques for D2D Communication under user Mobility and Presence of Obstacles 
    Singh, Durgesh (Indian Statistical Institute, Kolkata, 2021-12)
    Formalization of device to device (D2D) communication and millimeter wave (mmWave) technology into 5G and beyond cellular networks has given rise to novel challenges of multitude dimensions. Relay selection problem (RSP) ...
  • C∗-extreme Maps and Nest Algebras 
    Kumar, Manish (Indian Statistical Institute, Bangalore, 2022-01)
  • On Some Estimation Problems through the Sub-linear Lens 
    Mishra, Gopinath (Indian Statistical Institute, Kolkata, 2021-12)
    The way the data is processed or some computation done over it has changed drastically over time with the advent of the paradigm of big data. The study of model-centric computation gives the theoretical underpinning to the ...
  • Queryable Encryption for Outsourced Dynamic Data 
    Sardar, Laltu (Indian Statistical Institute, Kolkata, 2021-08)
    Nowadays, cloud computing and storage services have become crucial in everyone’s life either directly or indirectly. However, data stored in untrusted cloud servers is prone to attacks by the server itself. In case, the ...
  • Transfer Learning: Pre-trained VGG16 Architecture for Chest X-Ray Classification 
    Karmakar, Anirban (Indian Statistical Institute, Kolkata, 2020-08)
    This thesis considers the task of thorax disease classification on Chest X-Ray images using transfer learning. The thorax or chest is a part of the anatomy of humans and various other animals located between the neck ...
  • Annual Report : 2020-2021 
    Indian Statistical Institute (Indian Statistical Institute,Kolkata, 2021)
  • Graphs with equal independence and matching number 
    Patle, Prajyot Subhash (Indian Statistical Institute,Kolkata, 2021-07)
    Extremal graphs are graphs which sit at the extremes. In simpler words for a class of graphs which satisfy a certain property, extremal graphs are the ones which exhibit a minimum or maximum of that property. Here, we take ...
  • A Study on Partial List Coloring 
    Gupta, Ganesh (Indian Statistical Institute,Kolkata, 2021-07)
  • Some Perspectives on Brightness Perception Models through the Study of Brightness Illusions 
    Bakshi, Ashish (Indian Statistical Institute,Kolkata, 2021-11)
    Modeling brightness perception has always been a challenging issue in computer vision for performing real-life, complex visual tasks like object detection, recognition and image analysis under widely varying lighting ...
  • Optimal Eavesdropping in Quantum Cryptography 
    Acharyya, Atanu (Indian Statistical Institute,Kolkata, 2021-09)
    Quantum key distribution (QKD) has raised some promise for more secured communica- tion than its classical counterpart. It allows the legitimate parties to detect eavesdropping which introduces error in the channel. If ...
  • On Automatic Identification of Retail Products in Images of Racks in the Supermarkets 
    Santra, Bikash (Indian Statistical Institute,Kolkata, 2021-12)
    An image of a rack in a supermarket displays a number of retail products. The identification and localiza- tion of these individual products from the images of racks is a challenge for any machine vision system. In this ...
  • Representation in Politics and Labor Markets 
    Chaturvedi, Sugat (Indian Statistical Institute,Kolkata, 2021-10)
  • Differential and subdifferential properties of symplectic eigenvalues 
    Mishra, Hemant Kumar (Indian Statistical Institute, New Delhi, 2021-04)
    A real 2n × 2n matrix M is called a symplectic matrix if M T JM = J, where J is the 2n × 2n matrix given by J = ( O In −In O ) and In is the n × n identity matrix. A result on symplectic matrices, generally known as ...
  • Secure and Efficient Computation of the Diffie-Hellman Protocol using Montgomery Curves over Prime Order Fields 
    Nath, Kaushik (Indian Statistical Institute,Kolkata, 2021-11)
    Public-key cryptography came into light in 1976 through the work of Diffie and Hellman which introduced the first one-way function giving birth to the famous Diffie-Hellman (DH) key agreement protocol. While the original ...
  • On Adversarial Robustness of Deep Learning Systems 
    Chaturvedi, Akshay (Indian Statistical Institute,Kolkata, 2021-11)
    In the past decade, deep learning has been ubiquitous across diverse fields like natural language processing (NLP), computer vision, speech processing, etc. De- spite achieving state-of-the-art performance, there are ...