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Browsing Computer Science and Engineering by Title

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  • Mining high-utility itemsets from a transaction database 
    Dawar, Siddharth; Goyal, Vikram (Advisor); Bera, Debajyoti (Advisor) (IIIT-Delhi, 2021-04)
    Technological advances have enabled organizations to store large amounts of data cost-effectively. Patterns hidden in such massive databases can be valuable to industries to gain actionable knowledge and promote their ...
  • Mining interesting sub graphs using big data platforms 
    Khare, Alind; Goyal, Vikram (Advisor) (IIIT-Delhi, 2017-07-05)
    The goal of graph mining is to extract interesting sub graphs from a single large graph (e.g., a social network), or from a database of many graphs.This thesis has modified the FSM-H algorithm (algorithm for frequent sub ...
  • Mining top-K high utility itemsets in streaming data: a comparative study 
    Sharma, Veronica; Goyal, Vikram (Advisor) (2016-10-25)
    High Utility Itemset Mining (HUIM) has gained significant progress in recent years. The HUIM refers to the method of finding most relevant itemsets from a database and it finds its applications in the domain of senosor ...
  • Mining YouTube metadata for detecting privacy invading harassment and misdemeanour videos 
    Aggarwal, Nisha; Sureka, Ashish (Advisor) (2014-03-14)
    YouTube is one of the most popular and largest video sharing websites (with social networking features) on the Internet. A signi cant percentage of videos uploaded on YouTube contains objectionable content and violates ...
  • Minute papers in ALT (active learning and teaching) 
    Khandade, Om; Trivedi, Sanchit; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2022-05)
    Minute paper or One minute paper is one of the old exercises that is commonly used in classroom assessment. In this technique, students are asked to fill out responses based on their learnings at the end of a lecture in ...
  • Mobile app to manage and advertise innovation, research and development activities at IIIT DELHI 
    Gupta, Saloni; Saxena, Simran; Singh, Pushpendra (Advisor) (2017-04-18)
    There has been an increasing need to have access to everything on Mobile phones due to the ease of access and portability. With this aim, we decided to bring the Innovation, Research and Development (IRD) Activities being ...
  • Mobile applications for supporting people with schizophrenia 
    Sharma, Shreya; Batabayal, Ashutosh; Singh, Pushpendra (Advisor) (IIITD-Delhi, 2019-04-14)
    Medical illnesses such as bipolar disorder, schizophrenia, depression are of great concern in today's time. Mental patients require long term treatment and a caregiver who is there to adhere to their needs. Medical conditions ...
  • Mobility Assistant for the Visually Impaired 
    Verma, Arsh; Gupta, Anubha (Advisor); Arora, Chetan (Advisor); Balakrishnan, M. (Advisor) (IIIT- Delhi, 2021-05)
    Scene Text Recognition (STR) refers to the task of recognition of text in natural scenes. The success of OCR models is hard to achieve on natural scene images due to a variety of challenges, including - variation in ...
  • MobiShare : cloud-enabled opportunistic content sharing among mobile peers 
    Yadav, Kuldeep; Naik, Vinayak; Singh, Amarjeet (2012-10-12)
    In developing countries, smartphones and high bandwidth connections are not yet within the reach of majority of the people. To share multimedia content among themselves, people rely on manual local sharing mechanisms i.e. ...
  • Modality guided representation learning for person re-identification 
    Kansal, Kajal; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-05)
    The rise of surveillance cameras has led to a significant focus on large scale deployment of intelligent surveillance systems. Person re-identification (Re-ID) is one of the quintessential surveillance problems. Person ...
  • Model explainability - in Context of Argument Mining 
    Yadav, Anunay; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Evaluator); Bagler, Ganesh (Evaluator) (IIIT-Delhi, 2021-12)
    Argument mining is a rising research area in natural language processing, the goal of which is to extract argumentative structures from natural language texts. Such components contain a lot of information not only limited ...
  • Modeling and implementation of real-time animal detection module for mobility assistant for visually impaired (MAVI) system 
    Verma, Richa; Arora, Chetan (Advisor) (2017)
    India is currently home to around 12 million blind people out of 39 million globally - one-third of the world's blind population resides in India. People with low vision or complete blindness find it hard to navigate ...
  • Modelling and implementation of real time texture detection module for mobility assistant for visually impaired system (MAVI) 
    Agarwal, Prerna; Arora, Chetan (Advisor) (2017-07)
    As the volume of video data is increasing day by day, real-time video processing is becoming an important application to build any real time device based on image processing. An interesting task that is crucial for the ...
  • Most navigable path using landmarks 
    Mittal, Abhishek; Sharma, Ishan; Gunturi, Venkata M. Viswanath (Advisor) (2017-04-18)
    In this paper we will be mentioning the various facets of our research project. We will go through the need to solve the problem of navigability and its relevance to today’s world. We have compared this model to the existing ...
  • Motion forecasting 
    Prachi; Anand, Saket (Advisor) (IIIT-Delhi, 2023-12-12)
    The prediction of multi-agent behavior is crucial for the development of advanced human-robot interactive systems, particularly in domains like self-driving cars. Existing trajectory forecasting methods often lack the ...
  • Multi-agent task planning and allocation 
    Wadhwa, Mohit; Sujit, PB (Advisor) (2017-04-18)
    We study the problem of multi-agent task allocation and planning with local communication between agents. Centralized planning algorithms for task allocation limits the range of the mission and the fixed location where the ...
  • Multi-modal sensor fusion for geometric and semantic scene understanding with graphs 
    Rai, Prakhar; Iyer, Anirudh R; Ananad, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2023-11-29)
    Multimodal sensor fusion is a technique which combines data from multiple sensors for applying the combined data in an effective manner which would provide a better understandning of the environment. In some cases such as ...
  • Multi-tenant cache design for smart NICs 
    Kaif, Mohammed; Mittal, Shivansh; Shah, Rinku (Advisor); Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Cloud providers host tenant applications on the shared server infrastructure and provide isolation by leveraging virtualization solutions such as virtual machines (VMs), containers, or serverless. The current virtualization ...
  • Multimodal deep learning 
    Sood, Raghav; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2020-05-31)
    Modality refers to how something happens or is experienced. It is the representation format in which information is stored. Multimodal Learning involves relating information from multiple sources. Many modalities are ...
  • Multimodal misinformation analysis 
    Mathur, Himanshi; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    The first study is based on classification of fake video detection. Filtering, vetting, and verifying digital information is an area of core interest in information science. Content present online in the format of news, ...

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