Browsing by Title

Sort by: Order: Results:

  • Ujjainia, Anjali; Singhal, Nikhil; Babbar, Karishma; Upadhyaya, Utkarsh; Jha, Prashant (Advisor) (2017)
    This project is in continuation with the previous semester. The previous semester's work revolved around understanding the Indian health care system, with the primary focus on all aspects related to prescriptions. This is ...
  • Kesar, Devishi; Kaul, Sanjit Krishnan (Advisor); Maity, Mukulika (Advisor) (IIITD-Delhi, 2018-11-26)
    With the increase in demand for enterprise wi- , there is a growing need to understand the functioning of these networks. Large scale Wi-Fi deployment is a challenging task. There is a need to diagnose network related ...
  • Thulasidoss, Bharath Kumar; Garimella, Pavan Kumar; Sethi, Tavpritesh (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...
  • V, Sathish; Butail, Sachit (Advisor); Orkisz, Michal (Advisor) (IIIT-Delhi, 2021-02)
    Industrial robots are complex systems that require technical expertise for condition monitoring and diagnostics. In small and medium scale industries, adequate skilled resources may not be available to monitor the robots ...
  • Jain, Milan; Singh, Amarjeet (Advisor); Chandan, Vikas (Advisor) (IIIT-Delhi, 2019-03)
    In buildings, air conditioning consumes a significant proportion of the aggregate electricity bill. Specifically, in residential and small-scale commercial buildings, people prefer to use room-level ACs (AC stands for Air ...
  • Tariyal, Snigdha; Majumdar, Angshul (Advisor) (2016-09-13)
    This Thesis focuses on combining the two well researched concepts of representation learning – Dictionary Learning and Deep Learning. These two learning paradigms have been known for long. Ever since, plethora of papers ...
  • Singhal, Vanika; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-08)
    Currently there are three basic frameworks in deep learning - stacked autoencoders (SAE), deep belief network (DBN) and convolutional neural network (CNN); SAE and DBN can be applied to arbitrary inputs but CNN can only ...
  • Chawla, Mohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2019-07)
    With the increased interest in face recognition across di erent applications, the research in this area has ourished over the past few decades. However, face recognition with disguise variations has gained little ...
  • Gehlot, Shiv; Gupta, Anubha (Advisor) (IIIT-Delhi, 2022-04-08)
    This thesis, “Deep Learning Assisted Methods for Microscopic Blood Cancer Imaging Analysis” aims to develop deep learning-based CAD tools for Acute Lymphoblastic Leukemia (ALL) and Multiple Myeloma (MM). A CAD tool typically ...
  • Hegde, Srinidhi; Anand, Saket (Advisor); Sharma, Ojaswa (Advisor) (2017-04-18)
    Recent advancement in deep learning techniques has opened doors for wide variety of applications. With growing interests in deep learning and geometry, lots of computer vision problems have been tackled using deep learning. ...
  • Gupta, Divam; Arora, Chetan (Advisor) (IIIT-Delhi, 2016-07-18)
    First person videos captured from wearable cameras are growing in popularity.Standard algo- rithms developed for third person videos often do not work for such egocentric videos because of drastic change in camera ...
  • Sethi, Akshay; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-04-17)
    The first part of this work focuses on facial attribute prediction using a novel deep learning formulation, termed as R-Codean autoencoder. The work presents Cosine similarity based loss function in an autoencoder which ...
  • Madaan, Pulkit; Maiti, Abhishek; Anand, Saket (Advisor); Mittal, Sushil (Advisor) (IIITD-Delhi, 2019-04-15)
    We use Mean Shift clustering in the latent space of an auto-encoder to have a better representation of the data and a more structured latent space. Instead of just using the mode of the distribution calculated using kernel ...
  • Madaan, Pulkit; Maiti, Abhishek; Anand, Saket (Advisor); Mittal, Sushil (Advisor) (IIIT-Delhi, 2019-11-15)
    We use Mean Shift clustering in the latent space of an auto-encoder to have a better representation of the data and a more structured latent space. Instead of just using the mode of the distribution calculated using kernel ...
  • 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 ...
  • 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 ...
  • Somannagari, Neha Reddy; Sethi, Tavpritesh (Advisor) (2021-05)
    Health care systems all around the world have an ever-growing burden of intensive care on them. Complications such as sepsis, organ failure and shock contribute to a large portion of the deaths. However they can be treated ...
  • Singh, Monika; Chang, Donghoon (Advisor); Sanadhya, Somitra Kumar (Advisor) (IIIT-Delhi, 2022-02)
    With the rapid growth of the World Wide Web and the Internet of Things, huge amounts of digital data are being produced everyday. Digital forensics investigators face an uphill battle when they have to manually screen ...
  • Guntakindapalli, Venkatesh; Bera, Debajyoti (Advisor) (2017-05)
    Locality sensitive hashing(LSH) is a hashing scheme that hashes objects into several buckets such that objects that are similar hashes into the same bucket and objects that are dissimilar hashes into different bucket with ...
  • Mishra, Sweta; Chang, Donghoon (Advisor); Sanadhya, Somitra Kumar (Advisor) (IIIT-Delhi, 2017-10)
    Passwords are the most widely deployed means of human-computer authentication since the early 1960s. The use of passwords, which are usually low in entropy, is delicate in cryptography because of the possibility of launching ...

Search Repository

Browse

My Account