DSpace at Indian Statistical Institute: Recent submissions

  • Gupta, Avisek (Indian Statistical Institute,Kolkata, 2021-11)
    The problem of clustering aims to partition unlabeled data so as to reveal the natural affinities between data instances. Modern learning algorithms need to be designed to be applicable on larger datasets that can also be ...
  • Khan, Aparajita (Indian Statistical Institute,Kolkata, 2021-11)
    Multi-view data clustering explores the consistency and complementary properties of different views to uncover the natural groups present in a data set. While multiple views are expected to provide more information for an ...
  • Mukhopadhyay, Madhurima (Indian Statistical Institute,Kolkata, 2021-09)
    The thesis focuses on two problems: The discrete logarithm problem(DLP) and the class group com- putation problem. Besides the inherent mathematical appeal, both of these problems have strong cryp- tographical ...
  • Mukhopadhyay, Sugato (Indian Statistical Institute,Kolkata, 2021-09)
  • Ghosh, Sebati (Indian Statistical Institute,Kolkata, 2021-08)
  • Mondal, Ranjan (Indian Statistical Institute,Kolkata, 2021-08)
    Image processing with traditional approaches mainly use the tools of linear systems. However, linear approaches are not well suited and may even fail to solve problems involving geometrical aspects of the image. Thus, ...
  • Sahai, Komal (Indian Statistical Institute, Delhi, 2021-01)
    This thesis lies at the intersection of two broad themes in economics: education and identity. Education is a primary tool for building human capital in economies. It has been recognised as the driver of economic prosperity ...
  • Jana, Satyabrata (Indian Statistical Institute,Kolkata, 2021-07)
    For a set of geometric objects, the associative geometric intersection graph is the graph with a vertex for each object and an edge between two vertices if and only if the corresponding objects intersect. Geometric ...
  • Tripathi, Yashaswi (Indian Statistical Institute, Kolkata, 2020-07)
    Sentiment analysis plays an important role in e-commerce, as it allows the industries to better understand the customer experience and its brand value. Aspect Based Sentiment Analysis (ABSA) is a ne-grained version of ...
  • Moon, Sushant Sharad (Indian Statistical Institute, Kolkata, 2020-07)
    Sign languages being the primary language of the deaf community, researchers from many elds have been working in this domain from the past two decades. Until now, the majority of the work was in Sign Language Recognition. ...
  • Basu, Spandan (Indian Statistical Institute, Kolkata, 2020-07)
    This research work is aimed to design a method for predicting the view count of a video using deep neural network based analysis of subjective video attributes. With more and more companies turning to online video content ...
  • Sarkar, Soumyajit (Indian Statistical Institute, Kolkata, 2020-07)
    Given a single 2D image, our Objective is to pass that image into a Deep Learning Model and get the 3D shape of that image as output. These tasks have received many attentions recently, however, most of this existing ...
  • Sirkhel, Soumya (Indian Statistical Institute, Kolkata, 2020-07)
    Intelligent interface, to enhance e cient interactions between user and databases, is the need of many commercial applications. Oftentimes, users are not familiar with how to frame a structured query as they may not be ...
  • Guha, Soumee (Indian Statistical Institute, Kolkata, 2020-07)
    A lot of work has been done on texture generation techniques. Deep learning based image generation techniques have been extremely successful in generating realistic images. Moreover, reaction-di usion systems have also ...
  • Akhtar, Sheikh Shakil (Indian Statistical Institute, Kolkata, 2020-07)
    Cops and Robber games are pursuit-evasion games played on connected graphs. They have been studied extensively and nding the cop number of certain classes of graphs has been one of the major problems in these games. ...
  • Sil, Sanchari (Indian Statistical Institute, Kolkata, 2020-07)
    Gaussian Processes are used in supervised learning. They have been in the world of machine learning for quite some time, dealing with complex data sets where parametric methods fail. While calculating the gaussian ...
  • Gupta, Rishabh (Indian Statistical Institute, Kolkata, 2020-07)
    End-to-end trained Convolutional Neural Network (CNN) have signi cantly advanced the eld of computer vision in recent years, particularly high-level vision problems, because of its strong non-linear tting ability. In ...
  • Shukla, Ravi (Indian Statistical Institute, Kolkata, 2020-07)
    With the ever-increasing number of diverse user-equipments (UEs) and their require- ment of high data rate several modi cations have been done on previous wireless technologies leading to the evolution of 5G device to ...
  • Gautam, Rahul (Indian Statistical Institute, Kolkata, 2020-07)
    The work of this dissertation has been done along the lines of TREC News Track Background Linking task. The task is, given a news article suggest other news articles that provide context and background to the current ...
  • Chakraborty, Pinaki (Indian Statistical Institute, Kolkata, 2021-01)
    A multi-agent system can often be described as a protocol based interacting system wherein the information ow, inter-agent communication and agent behavior can be naturally modeled with dynamic and epistemic logics ...