IIIT-Delhi Institutional Repository

Browsing MTech Theses by Title

Browsing MTech Theses by Title

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  • 3D reconstruction from sparse unorganized cross sections 
    Agarwal, Nidhi; Sharma, Ojaswa (Advisor) (2015-12-02)
    In this thesis work, we propose an algorithm for smooth 3D object reconstruction from un- organized planar cross sections. We address the problem in its full generality, and show its e ectiveness on sparse set of cutting ...
  • Action recognition in egocentric videos 
    Verma, Sagar; Arora, Chetan (Advisor) (2017-07)
    With an increase in usage and availability of wearable devices like GoPro, Microsoft Hololens, Google Glass, etc, egocentric video analysis has become essential. An interesting application is action recognition in egocentric ...
  • 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 ...
  • Analysing space utilization using indoor localization 
    Aneja, Joy; Singh, Pushpendra (Advisor) (2016)
    The wide deployment of IEEE 802.11 Wireless LAN in offices, colleges and other organizations makes it a prime solution for indoor localization. Wireless access point awareness and its small cell size helps in localizing ...
  • Analyzing user discussion dynamics in social media platforms 
    Mukherjee, Arpan; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2018-06)
    Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, more productive studies of social interactions, and improved design of content distribution ...
  • Anisotropic mean shift clustering using distance metric learning 
    Cheema, Gullal Singh; Anand, Saket (Advisor) (2016-09-15)
    Mean shift is a non-parametric mode seeking procedure widely used in many computer vision problems. Mean shift clustering in particular is a well studied and established algorithm, which has many merits over the classic ...
  • AnonSocialMix: anonymous p2p file sharing over social networks 
    Mukherjee, Rajdeep; Chakravarty, Sambuddho (Advisor) (2017)
    Peer-to-peer (P2P) file sharing accounts for one of the major sources of the Internet traffic. As privacy and anonymity issues continue to grow due to constant censorship and network surveillance, more and more Internet ...
  • ANUKARNA : a software engineering simulation game for teaching practical decision making in peer code review 
    Atal, Ritika; Sureka, Ashish (Advisor) (2015-07-20)
    Software Engineering (SE) being a practice-oriented and applied field is taught primarily (at University Level) using instructor-driven classroom lectures as well as team-based projects requiring hands-on skills. In ...
  • Anvaya : an algorithm and case-study on improving the goodness of software process models generated by mining event-log data in issue tracking systems 
    Juneja, Prerna; Sureka, Ashish (Advisor) (2015-03-11)
    Issue Tracking Systems (ITS) such as Bugzilla can be viewed as Process Aware Information Systems (PAIS) generating event-logs during the lifecycle of a bug report. Process Mining consists of mining event logs generated from ...
  • Applications of open transit data 
    Srivastava, Kshitij; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2020-06)
    The concept of open data has become quite popular in recent times among governments and public-facing organizations promoting transparency and collaboration. In a similar expedition, the Open Transit Data Platform for Delhi ...
  • Assessment and improvement of predictive value of complexity based features for sepsis prediction 
    Gupta, Priyanka; Sethi, Tavpritesh (Advisor); Goyal, Vikram (Advisor) (2017-07)
    Data analytics is not embedded into critical environments such as Intensive Care Unit. It is now realized that there is an untapped potential of Big-data in improving patient care. However, this is not taken into practice ...
  • Automatic detection of semantic inconsistency between BPMN process model and SBVR rule model 
    Mishra, Akanksha; Sureka, Ashish (Advisor) (2015-08-24)
    Business Process and Model Notation (BPMN) is a graphical model of business processes and Semantic of Business Vocabulary and Business Rules (SBVR) provide business rules corresponding to that business process. Though both ...
  • Automatic table of content generation for educational videos by leveraging multimodal information 
    Meet, Maheshwari; Goyal, Vikram (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Online education platforms have diverse learning content like videos, audio lectures, and technical articles. The major drawback of video-based learning content is the inability to directly access the content of interest ...
  • Blending active learning in a modified SPOC based classroom 
    Bansal, Shruti; Singh, Pushpendra (Advisor) (2015-12-03)
    Blended Learning is an amalgamation of face-to-face and e-learning. MOOCs (Massive Open Online Courses), a popular e-learning source of rich quality content produced by best instructors are freely available to learners ...
  • Cairn:identifying network locations for large scale censorship by resource-constrained adversaries 
    Agarwal, Anshika; Chakravarty, Sambuddho (Advisor) (2016-09-15)
    Censorship of the Internet by government is a hotly contested topic. Some nations lean more towards free speech; others are much more conservative. How feasible is it for a government to censor the Internet? What mechanisms ...
  • Call Me MayBe : understanding nature and risks of sharing mobile numbers on online social networks 
    Jain, Prachi; Kumaraguru, Ponnurangam (Advisor) (2014-07-10)
    There is a great concern about the potential for people to leak private information on social networks. There are many anecdotal examples of this, but few quantitative studies. This research explores the activity of ...
  • Channel-graph regularized correlation filter for visual object tracking 
    Tyagi, Arjun; Subramanyam, A V (Advisor) (IIIT-Delhi, 2020-08)
    Correlation filter (CF) based tracker often disregard or weakly incorporate the importance of feature channels as well as channel similarity. To address this, we propose a channel-graph regularization correlation filter-based ...
  • Citadels in cyberspace 
    Rawat, Madhur; Chakravarty, Sambuddho (Advisor) (2017-06)
    Cyberwarfare remains a sparsely explored domain of cybersecurity research, most often involving targeted attacks by one nation against another, using botnets. These botnets use malware to launch various kinds of attacks ...
  • Classifying stack overflow questions based on bloom’s taxonomy 
    Dubey, Manisha; Goyal, Vikram (Advisor) (2016-09-15)
    Bloom’s Taxonomy is a framework which acts as a reference for classification of questions across different cognitive levels such as Knowledge, Comprehension, Application, Analysis, Synthesis, and Evaluation. It can be used ...
  • Clotho : saving programs from malformed strings and incorrect string-handling 
    Dhar, Aritra; Purandare, Rahul (Advisor) (2014-12-12)
    Programs are susceptible to malformed data coming from untrusted sources. Occasionally the programming logic or constructs used are inappropriate to handle all types of constraints that are imposed by legal and well-formed ...

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