DSpace at Indian Statistical Institute: Recent submissions

  • Part 1. An Explainer for Information Retrieval Research 
    Saha, Sourav (Indian Statistical Institute, Kolkata, 2020-07)
    This thesis is organised in two parts. First, an explainability in Information retrieval (IR) research where we focus on the performance of the IR models. We present a toolkit I-REX to illustrate the performance and ...
  • Algorithms for Boundary Labeling of Horizontal Line Segments 
    Kurmi, Abhilash (Indian Statistical Institute, Kolkata, 2019-06)
    In boundary labelling problem the target is to labeling a set P of n points in the plane with labels that are aligned to side of the bounding box of P . In this work, we investigate a variant of this problem. In our ...
  • Acyclicity Tests in Classes of Dense Digraphs in Streaming Model 
    Kundu, Madhumita (Indian Statistical Institute, Kolkata, 2020-07)
    Graph is a popular model to represent highly structured data which involves entities who have pairwise relations between them. In many applications, computing graph theoretic properties after modelling the entire dataset ...
  • Intracranial Hemorrhage Detection 
    Ojha, Naveen (Indian Statistical Institute, Kolkata, 2016-07)
    ICH is diagnosed through history, physical examination, and, most commonly, non- contrast CT examination of the brain, which discloses the anatomic bleeding location. Trauma is a common cause. In the absence of trauma, ...
  • Video Summarization using Neural Networks 
    Kumar, Manish (Indian Statistical Institute, Kolkata, 2020-07)
    With the rapid increase in video data, the need for video summarization has increased. it allows us to search and retrieve video data easily. In this work, we have tried to solve the problem of video summary using ...
  • Efficient Automatic Optimization of Neural Network Architecture 
    Pathak, Harsharaj (Indian Statistical Institute, Kolkata, 2020)
    Neural Networks are at the heart of deep Learning Frame works which have yielded excellent results in various complex problem domains. But the design of neural network architecture is a challenging task. Judicious selection ...
  • Evidential Obstacle learning in Millimeter wave D2D communication using Spatial Correlation 
    Ganesan, Harish (Indian Statistical Institute, Kolkata, 2020-07)
    The 5G technology has created a lot of interest recently to support the increasing demand for higher data rates by the user equipments (UEs). The most interesting part of 5G is the use of device to device (D2D) communication, ...
  • Lower Bound of Coin Counting Problem 
    BHADURI, ARITRA (Indian Statistical Institute, Kolkata, 2020-07)
    We have n coins of two weights. We also have a balance scale to measure the weights of the coins. The objective is to find the number of heavy coins with as few measurement as possible. This problem is known as "coin-counting ...
  • Locally Dependent Natural Image Priors for Non-blind and Blind Image Deconvolution 
    Nandy, Kaustav (Indian Statistical Institute,Kolkata, 2020-12)
  • Image Restoration of Night Time Hazy Images 
    Chaurasia, Rishabh (Indian Statistical Institute, Kolkata, 2020-09)
    Image restoration is the operation of taking a corrupt/noisy image and estimat- ing the clean, original image. There are various source of noise in image like fog, haze, glow, scattering of light, motion blur and camera ...
  • Making a Neural Network learn to say Don't Know 
    Roy, Laltu (Indian Statistical Institute, Kolkata, 2020-07)
    Classi cation problem is a popular topic within machine learning community. One of the major problem in classi cation task is how to handle incoming patterns which are unusual and di erent in some measure. For such novel ...
  • Randomized algorithms for resource allocation indevice to device communication 
    Ghosal, Subhankar (Indian Statistical Institute,Kolkata, 2021-12)
    In device to device (D2D) communication, two users residing in close proximity candirectly communicate between them, through a common channel, without the needof a base station. A pair of D2D users forms a link and a channel ...
  • Fire Sale in High Frequency Order Book 
    Das, Debam Kumar (Indian Statistical Institute, Kolkata, 2020-07)
    This work attempts to come up with an optimal strategy that a market-maker could adopt in times of a fire sale at the high frequency level. We use a modern version of the self financing equation applied to a high frequency ...
  • Constructing Robust Classi ers using Cryptographic objects 
    De, Shankhadeep (Indian Statistical Institute, Kolkata, 2020-07)
    The existence of evasion attacks during the test phase of machine learning algorithms repre- sents a signi cant challenge to their deployment and understanding. These attacks are carried out by adding imperceptible ...
  • Essays on the Economics of Conflict 
    Guha Neogi, Ranajoy (Indian Statistical Institute,Kolkata, 2021-05)
  • Essays in Multidimensional Mechanism Design 
    Paramahamsa, Kolagani (Indian Statistical Institute,Delhi, 2021-05)
    This thesis analyzes three problems where a monopolistic seller is selling to an agent with multidimensional private information. While our understanding of such problems is comprehensive if the agent's private information ...
  • Essays on Collective Contests and Bargaining 
    Gupta, Dhritiman (Indian Statistical Institute,Kolkata, 2020-07)
  • AN EFFICIENT ALTERNATIVE OF THE IDENTITY MAPPING OF THE ResNet ARCHITECTURE 
    BAG, ARPAN KUMAR (Indian Statistical Institute, Kolkata, 2020-08)
    In the past few years, deep models have made a huge impact in the eld of computer vision. Among these deep models, Residual Networks or ResNets have become par- ticularly popular for their simple architecture and e cient ...
  • Efficient Learning of GAN 
    SAHA, ARNAB (Indian Statistical Institute, Kolkata, 2020-07)
    GAN or Generative Adversarial Network is a combination of two deep Neural Networks in which one network acts as a generator where the other acts as a discriminator which differentiate between real and generated fake samples. ...
  • An Efficient Preprocessing Module For Incidental Scene Text Recognition 
    Giri, Anjan (Indian Statistical Institute, Kolkata, 2020-09)
    State-of-the-art scene text recognition systems perform satisfactorily on samples of benchmark datasets as long as the quality of the text in an image sample is not a ected signi cantly by certain distortions such as ...