DSpace at Indian Statistical Institute: Recent submissions

  • Detecting Anemia from retinal images using Deep Learning 
    Agrawal, Akhil (Indian Statistical Institute, Kolkata., 2021-07)
    Anemia is the condition which formed when there is not enough healthy red blood cells present in body. This ultimately result in the lack of reduced oxygen flow in the body. This causes the fatigue, dizziness, shortness ...
  • Facets of Quantum Computation { Practice and Theory 
    Mukherjee, Chandra Sekhar (Indian Statistical Institute, Kolkata, 2021-07)
    Quantum computation has seen rapid development both in theory as well as hardware and implementation in the past three decades. Against this backdrop we study both the implementational and theoretical aspects of quantum ...
  • An approach to Multi View Deep Continuous Clustering using Subspace Projection 
    Mazumder, Agnip (Indian Statistical Institute, Kolkata, 2021-07)
    As we know Clustering is an unsupervised machine learning algorithm, where in a collection of unlabelled data similar data items are grouped under same class and dissimilar data goes to di erent class. One common algorithm ...
  • Gender bias in Hindi word embedding 
    Bharti, Barkha (Indian Statistical Institute, Kolkata, 2021-07)
    The purpose of this paper is to present a study on gender bias in word embeddings in the context of the Hindi Language. It has been shown that word embeddings capture human biases (such as gender bias) present in the ...
  • Video Frame Prediction using Deep Learning 
    Kola, Bala Murali Krishna (Indian Statistical Institute, Kolkata, 2021-07)
    Advances in Deep Learning helped in developing exiting applications in the past few years like Style Transfer, Image Generation. It has helped us achieving super human performance and state-of-the-art results in various ...
  • Improving the efficiency of RLWE-based IPFE and its application on privacy-preserving biometrics 
    Adhikary, Supriya (Indian Statistical Institute,Kolkata, 2021-07)
    Encryption is a method with which one can securely share data over an insecure channel. The traditional public-key encryption follows an all-or-nothing approach where the receiver is either able to get the whole message ...
  • Some Results on Combinatorial Batch Codes and Permutation Binomials over Finite Fields 
    Bhattacharya, Srimanta (Indian Statistical Institute,Kolkata, 2015)
    In this thesis,we study combinatorial batch codes (CBCs) and permutation binomials (PBs) over �nite �elds of even characteristic. Our primary motivation for considering these problems comes from their importance in ...
  • Around Fatou Theorem and Its Converse on Certain Lie Groups 
    Sarkar, Jayanta (Indian Statistical Institute,Kolkata, 2021-07)
    A classical result due to Fatou relates the radial and nontangential behaviour of the Poisson integral of suitable measures on the real line with certain differentiability properties of the measure. Loomis proved the ...
  • Arrangement Graphs and Intersection Graphs of Curves 
    Sahoo, Uma kant (Indian Statistical Institute,Kolkata, 2022-02)
    An arrangement of a set of non-self-intersecting curves is their embedding in the Euclidean plane such that at each intersection point the curves involved cross each other. Arrangements are well-studied both in Discrete ...
  • 56th Convocation Address 
    Kang, Gagandeep (Indian Statistical Institute, 2022-03-02)
  • Policy Design and Verification for Multi-Access Edge Computing 
    Ray, Kaustabha (Indian Statistical Institute,Kolkata, 2022-02)
    In recent times, Multi-Access Edge Computing (MEC) is showing much promise as the preferred application service provisioning model to facilitate convenient access to services for mobile users. The central idea of MEC is ...
  • The Cops and Robber game on some graph classes 
    Gahlawat, Harmender (Indian Statistical Institute,Kolkata, 2022-01)
    Cops and Robber is a two-player pursuit-evasion game played on graphs. Here, one player controls a set of k cops, and the other player controls a single robber. The game starts with k cops placing themselves on the vertices ...
  • Essays in Auctions and Robust Bilateral Trading 
    Malik, Komal (Indian Statistical Institute, New Delhi, 2021-07)
    This thesis is divided into four chapters. Each chapter deals with the allocation or trading mechanisms of private goods. The first two chapters deal with private good allocation problems. In the first chapter, we consider ...
  • Quantum query complexity through the ens of communication complexity and exact learning 
    Paraashar, Manaswi (Indian Statistical Institute,Kolkata, 2022-02)
    Query complexity, both classical and quantum, are important and well-established notions of computation. In this thesis, we will investigate query complexity in both classical and quantum worlds and study their relationship ...
  • Discriminative Dictionary Learning by Exploiting Inter-Class Similarity for HEp-2 Cell Classi cation 
    Panda, Aditya (Indian Statistical Institute,Kolkata, 2019-07)
    In this literature we present an algorithm for automatic classi cation of IIF images of HEp-2 cells into relevant classes. Our algorithm is majorly based on the \Dictionary Learning" algorithm and we have rede ned it's ...
  • BlockV: A Blockchain Enabled Peer-Peer Ride Sharing Service 
    Pal, Panchalika (Indian Statistical Institute,Kolkata, 2019-07)
    Today's ride sharing is a centralized trust based system where users trust the service providers for the ride set up, tracking, cancellation, fare calculation etc. Any malicious activity in the centralized server based ...
  • Stability and (Obviously) Strategy-proofness in Matching Theory 
    Mandal, Pinaki (Indian Statistical Institute,Kolkata, 2021-08)
    We analyze stability and (obviously) strategy-proofness in two well-known models of matching theory, namely “assignment problem” (a one-sided matching model) and “marriage problem” (a two-sided matching model). • In ...
  • Recognition of Strokes in Tennis Videos Using Deep Learning 
    Singanporia, Kushal (Indian Statistical Institute,Kolkata, 2019-07)
    Prior introduction of neural nets to domain of computer vision, action recognition requires specific domain knowledge. Still domain knowledge is useful in action recognition but with availability of huge data and ...
  • Classi cation of Micro-Blog Texts 
    Sen, Bihan (Indian Statistical Institute,Kolkata, 2019-07)
    Classi cation of micro-blog texts is a very common task for sentiment analysis, user opinion mining, product review analysis, crisis managements, identifying ofensive and hate speech propagation across social media, ...
  • On Testing of Samplers and Related Problems 
    Chakraborty, Shayak (Indian Statistical Institute,Kolkata, 2019-07)
    The last decade has seen an unprecedented adoption of Arti cial Intelligence and Machine Learning Algorithms in various engineering applications such as medical imaging, autonomous vehicles, web services, etc. Probabilistic ...