Dissertations - M Tech (CS): Recent submissions

  • Multidimensional Scaling Using Artificial Neural Networks 
    Sil, Partha (Indian Statistical Institute, Kolkata., 2021-07)
    Manifold Learning has been widely exploited in the arena of data analysis, machine learning and pattern recognition. The main assumption behind manifold learning is that the input high-dimensional data lies intrinsically ...
  • Few-Shot Meta Learners for Domain Adaptation 
    Ghosh, Surjayan (Indian Statistical Institute, Kolkata., 2021-07)
    Modern developments in Deep Learning and Machine Learning have shown great capacity to learn from labelled training assumption that training data and the data which the learning algorithm might see during testing or ...
  • Rainbow Edge Coloring 
    Ghosh, Sudipta (Indian Statistical Institute, Kolkata., 2021-07)
    Graph coloring is a well known problem with wide-ranging applications. The vertex and edge coloring problems have been studied in various models of computation. Rainbow coloring is a type of edge coloring that also acts ...
  • Strategies for User Allocation and Service Placement in Multi-Access Edge Computing 
    Panda, Subrat Prasad (Indian Statistical Institute, Kolkata., 2021-07)
    The emergence of Multi-access Edge Computing (MEC) grants service providers the ability to deploy services at edge servers near base stations to mitigate the effects of high network latencies often encountered in cloud-based ...
  • Pre-Fall Detection by Openpose 
    Saha, Subhajit (Indian Statistical Institute, Kolkata., 2021-07)
    Due to the improvement of medical science people worldwide are living longer. WHO has already predicted that the number of persons with age more than 60, will increase to 1.4 billion by 2030 and 2.1 billion by 2050. Where ...
  • Deep Learning for Classification of COVID-19 Chest CT Scan 
    Ghosh, Subhadip (Indian Statistical Institute, Kolkata., 2021-07)
    The latest threat to global health is COVID-19. It has a tremendous diffusion rate and to combat with this pandemic, large scale testing and diagnosis is required. RT-PCR is the most accurate screening for validating ...
  • Multi-View Hierarchical Clustering using Optimal Transport 
    Ghosh, Sohan (Indian Statistical Institute, Kolkata., 2021-07)
    With the growing availability of multi-view data, development of multi-view clustering algorithms has gained prominence among researchers. However, most of these algorithms are either based on subspace, graph or spectral ...
  • Effectiveness of A* Algorithm for Constrained Tiling 
    Dey, Rishi (Indian Statistical Institute, Kolkata., 2021-07)
    The ‘Mondrian Tiling’ problem is a particular class of constraint optimization problem where a square grid is covered with some non-overlapping integer dimension rectangles, which must not be pairwise congruent. The ...
  • Center-based Robust Clustering 
    Das, Pranta (Indian Statistical Institute, Kolkata., 2021-07)
    We consider the problem of clustering observations xi ∈ R d , i = 1, ..., n into k possible clusters. We are mainly interested in clustering in the presence of outliers, where classical clustering algorithms face ...
  • 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 ...
  • Bibliographic Citation Recommender System 
    Ashrit, P Omkar (Indian Statistical Institute, Kolkata., 2021-07)
    With increasing volume of published scholarly articles every year, it becomes demanding to include appropriate references in a paper. Recommendation systems for bibliographic citations suggests possible references to authors. ...
  • An Attempt to Design a Neural Network Exploiting Biological Neurons 
    Singh, Neeraj Kumar (Indian Statistical Institute, Kolkata., 2021-07)
    A multilayer perceptron network is a very effective tool for both classification and regression type problems, which has been successfully used in many areas. In this era of artificial intelligence, deep neural networks ...
  • Occupation Games 
    Mohamed, Mohamed Anas Noor (Indian Statistical Institute, Kolkata., 2021-07)
    Graph games are played on a directed or un-directed graphs with two or more players. Each game differs from one another in the actions available for each player and the constraints present. The different constraints offer ...
  • Asynchronous Methods in Gradient Descent 
    Ghosh, Koushik (Indian Statistical Institute, Kolkata., 2021-07)
    Su, Boyd and Candes ’14 [1] showed that if we make the stepsizes smaller and smaller, Nesterov Accelerated Gradient Descent converges to a 2nd order ODE. On the other hand, arjevani has shown recently some convergence ...
  • Deep learning for COVID-19 lung pathology segmentation 
    Bedi, Gurdit Singh (Indian Statistical Institute, Kolkata., 2021-07)
    COVID-19 pandemic has impacted billions of lives and created a challenge for the healthcare systems. Detection of pathologies from computed tomography (CT) images offers a great way to assist the traditional healthcare ...
  • Predicting Quality of Movie from Metadata and Plot Summary 
    Patel, Ashwani (Indian Statistical Institute, Kolkata., 2021-07)
    The worldwide theatrical market had a box office of US $42.2 billion in 2019. In recent years it has been seen that it is growing even more and more, as a consequence urge to predict the success of the movie has increased. ...
  • A Simulation Study into The Fundamental Laws of Synchronization 
    Chowdhury, Arnab (Indian Statistical Institute, Kolkata., 2021-07)
    Synchronization is a ubiquitous phenomenon. Sun synchronizes everybody on the earth. A powerful leader can synchronize the masses. Here we have hypothesized that the inducer of an induced synchronization must satisfy ...
  • Classical and Quantum Components of Quantum Key Distribution Protocol 
    Kumar, Anoop (Indian Statistical Institute, Kolkata., 2021-07)
    Quantum Key Distribution Protocol (QKD) is a type of quantum cryptography, i.e., it uses the concepts related to quantum mechanics to establish security in the communication channel. It is a key generation protocol and ...
  • Boolean Function Approximation by a Flat Polynomial 
    Gupta, Ankit (Indian Statistical Institute, Kolkata., 2021-07)
    Boolean functions f : {−1, 1} n → {−1, 1} arise in many areas of theoretical computer science and mathematics, for example: complexity theory, quantum computing and graph theory etc and Fourier analysis is a powerful ...
  • Rainbow Vertex Coloring 
    Ghosh, Diptiman (Indian Statistical Institute, Kolkata, 2021-07)
    The concept of rainbow connection was introduced by Chartrand et al.. It has become a new and active subject in graph theory. On this topic a book was written by Li and Sun and there is a survey paper also by Li, Shi and ...

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