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  • Gupta, Srishti; Kumaraguru, Ponnurangam (Advisor) (2013-12-03)
    The awareness and sense of privacy has increased in the minds of people over the past few years. Earlier, people were not very restrictive in sharing their personal information, but now they are more cautious in sharing ...
  • Prakash, Pragya; Vatsa, Mayank (advisor); Singh, Richa (advisor) (IIIT-Delhi, 2020-05-25)
    Transfer learning is widely used for many applications, but it is difficult to adapt intermediate layers of the network to a new learning task with less data available. Learning the importance that key connections play ...
  • Singh, Mridula; Kaul, Sanjit (2014-07-04)
    While the density of access points in enterprise settings has increased, the sharing of the spatial resource amongst links in 802:11 wireless local area networks remains ine cient. Conservative mechanisms based on a ...
  • Sankaran, Anush; Vatsa, Mayank; Singh, Richa (2012-03-14)
    Simultaneous latent fingerprints are a cluster of latent fingerprints that are concurrently deposited by the same person. Though ACE-V methodology provides the scientific basis for matching latent fingerprints, extending ...
  • Garg, Surabhi; Chang, Donghoon (advisor) (IIIT-Delhi, 2021-06)
    The biometric systems are widely deployed in various sectors for authentication purposes– India’s Aadhaar project (a multi-biometric database of above 1.3 billion of India’s population) being the prominent example. The ...
  • Ramanathan, Varun; Raman, Rajiv (advisor) (IIIT-Delhi, 2020-06-01)
    Traditionally, algorithms try to find the optimal solution for a problem in a “three-phase” approach: fetch the input, run the algorithm, output the solution. But recently, there has been an interest in understanding ...
  • Aggarwal, Aayush; Das, Syamantak (advisor) (IIIT Delhi, 2020-06-06)
    We are given a bipartite graph G(R, S, E) (|R| = |S|), where R denotes the set of requests and S being the set of servers. The requests R (given by an adversary) arrive sequentially along with their distances to each of ...
  • Yasvi, Maleeha Arif; Mutharaju, V. Raghava (advisor) (IIIT-Delhi, 2020-07)
    Ontologies evolve over time due to changes in the domain and the requirements of the application. Maintaining an ontology over time and keeping it up-to-date with respect to the changes in the domain and the requirements ...
  • Sachdeva, Nikhil; Mutharaju, Raghava (advisor) (IIIT-Delhi, 2020-06-08)
    Ontology Learning is the semi-automatic and automatic extraction of ontology from a natural language text, using text-mining and information extraction. Each ontology primarily represents some concepts and their corresponding ...
  • Gupta, Akanksha; Mallik, Anupama (Advisor) (2015-12-02)
    Past decade has seen a prominent rise in the number of e-commerce applications in the World Wide Web. Designing recommendation algorithms for predicting user interests is quite challenging for such systems. Several ...
  • Agarwal, Swati; Sureka, Ashish (Advisor); Goyal, Vikram (Advisor) (IIIT-Delhi, 2017-06)
    Online Social media platforms such as Tumblr, Twitter (micro-blogging website) and YouTube (video sharing website) contains information which is publicly available or open-source. Open source social media intelligence ...
  • Mithal, Aditi; Kumaraguru, Ponnurangam (Advisor) (2017-04-18)
    A tremendous amount of impact is generated through the images on social media as they account for more than 60% of the content available online. Understanding the textual content of the image is therefore significant for ...
  • Ishant; Arora, Chetan (advisor) (IIIT-Delhi, 2020-08-13)
    Many computer vision problems can be formulated as finding the best labeling configuration. If labelings satisfy Markov property then finding best labeling configuration becomes MRF (Markov Random Field)- MAP (Maximum A ...
  • Jain, Saatvik; Biyani, Pravesh (Advisor) (IIITD-Delhi, 2019-07-10)
    Ride-sharing has been one of the emerging solutions to the ever-increasing problem of congestion and air pollution in cities. However, the effectiveness of ride-sharing in reducing private vehicles is contingent on its e ...
  • Sondhi, Devika; Singh, Pushpendra (Advisor) (2015-12-02)
    Sensors that come built in smartphones are extensively used by various apps and for analysis purpose. Some of these sensors, especially GPS and Microphone, are energy expensive. Hence, there is a need to use these judiciously. ...
  • Jain, Milan; Singh, Amarjeet (Advisor) (IIIT Delhi, 2014-09-05)
    Buildings account for a signi cant proportion of overall energy consumption across the world. Heating Ventilation and Air Conditioning (HVAC) typically consumes a major proportion (e.g. 32% in India) of the total building ...
  • Agarwal, Akshay; Singh, Richa (advisor); Vatsa, Mayank (advisor) (IIIT-Delhi, 2020-10)
    As the deployment and usage of computer vision systems increase, protecting these systems from malicious data has also become a critical task. The primary source of information in any computer vision system is the input ...
  • Gupta, Nisha; Sureka, Ashish (Advisor) (2015-02-16)
    Process mining consists of extracting knowledge and actionable information from event-logs recorded by Process Aware Information Systems (PAIS). PAIS are vulnerable to system failures, malfunctions, fraudulent and ...
  • Maini, Parikshit; Sujit, P. B. (advisor) (IIIT-Delhi, 2020-09)
    Mobile robots have become ubiquitous today and are used widely in sensor networks. Their use in applications involving long-term operations, remote sensing and complex environments is a widely studied area of research due ...
  • Raj, Abhijit; Sengupta, Debarka (advisor) (IIIT-Delhi, 2020-07)
    Genetics has brought huge breakthroughs in understanding human health & wellbeing, diseases and treatment through modern methods such as personalized medicine. This has been possible through substantial research in the ...

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