IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Author "Majumdar, Angshul (Advisor)"

Browsing Computer Science and Engineering by Author "Majumdar, Angshul (Advisor)"

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  • Addressing coldstart problem in recommender systems 
    Banerjee, Shisagnee; Majumdar, Angshul (Advisor) (2016-09-15)
    In the following three chapters of my thesis, I have applied several methods to solve the coldstart problem in Recommender Systems. The coldstart problem is the situation where a user or item is new to a website and ...
  • Deep clustering 
    Goel, Anurag; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2023-11)
    The traditional way of clustering is first extracting the feature vectors according to domain-specific knowledge and then employing a clustering algorithm on the extracted features. Deep learning approaches attempt to ...
  • Deep transform learning 
    Maggu, Jyoti; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-12)
    Conventional dictionary learning is a synthesis formulation; it learns a dictionary to generate/synthesize the data from the learned coefficients. Transform learning is its analysis equivalent. The transform analyzes ...
  • Demand-side analytics for sustainable energy 
    Gaur, Megha; Majumdar, Angshul (Advisor) (IIITD-Delhi, 2019-10-01)
    The rapidly growing demand for energy poses one of the biggest challenges in our society. This challenge is critical not just for the power utilities but also for the environment as it leads to increased carbon footprint ...
  • Dictionary based time series modelling 
    Sharma, Shalini; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2022-09)
    Time series analytics is the practice of determining future values of correlated signals. In seminal works, time series were modeled using classical techniques such as ARMA (autoregressive moving average), and its variants ...
  • Information fusion using convolutional transform learning 
    Gupta, Pooja; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2023-09)
    There are many real-world problems pertaining to the need for the fusion of information from multiple sources. Consider, for example, the problem of demand forecasting that requires estimating the power consumption at a ...
  • Matrix completion techniques in bioinformatics 
    Mongia, Aanchal; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2020-09)
    Data analytics and computational techniques applied to biological sciences aid rapid technological advances, swift discoveries, and reliable analysis. A broad range of bountiful tools and algorithms have played pivotal ...
  • Random forest of imputation trees (RITS) for sparse single cell genomics data 
    Sharma, Rachesh; Majumdar, Angshul (Advisor); Kumar, Vibhor (Advisor) (IIIT-Delhi, 2019-04)
    A human body has billions of cells specialized with their own function and each cell carries genome in its nucleus. The activity of the genome is controlled by a multitude of molecular complexes called as epigenome. Previously ...
  • Solving matrix factorization from lower dimensional projections : applications in collaborative filtering and magnetic resonance imaging 
    Rajani, Anuj; Majumdar, Angshul (Advisor) (2014-07-10)
    Low-rank matrix factorization finds applications in large number of problems in signal processing and machine learning. Stochastic gradient descent (SGD) is a standard technique for solving large scale matrix factorization ...
  • Sparse recovery techniques for hyperspectral imaging 
    Aggarwal, Hemant Kumar; Majumdar, Angshul (Advisor) (2016-12-23)
    Human vision is a powerful imaging system that can capture and interpret light energy coming from different sources although it is limited to visible light. There are various applications such as face recognition, medical ...
  • Visual tracking using analysis dictionary learning 
    Sitani, Divya (Advisor); Subramanyam, A V (Advisor); Majumdar, Angshul (Advisor) (2017-08)
    Visual tracking or object tracking is the process of estimating the state of the target in successive frames of a video sequence. It is an integral part of a plethora of applications like security, surveillance, navigation ...

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