DSpace at IIIT-Delhi: Recent submissions

  • 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 ...
  • Utility and privacy guarantees of differential privacy 
    Srivastava, Shubham; Bera, Debajyoti (Advisor) (2016-09-15)
    The primary aim of any survey is to facilitate analysis of sensitive data to extract useful information, without jeopardizing privacy of the participants. Privacy models like k-anonymity do not guarantee privacy against ...
  • Planar modeling of indoor scenes using RGBD images 
    Tripathi, Shreya; Anand, Saket (Advisor) (2016-09-15)
    3D registration of scenes is a widely researched topic. Since the availability of low cost sensors like the Kinect RGB-D cameras, they are being extensively used for additional depth information about the scene. Most of ...
  • 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 ...
  • 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 ...
  • Extending a scaling based flow algorithm for higher order MRF-MAP inference in vision 
    Prasoon; Arora, Chetan (Advisor) (2016-09-13)
    Several tasks in computer vision and Machine Learning are modeled as MRF-MAP inference problems. The problem can often be modeled as minimizing sum of submodular functions. Since, sum of submodular functions (SoS) is also ...
  • Gender classification using RGB-D videos 
    Agrawal, Navin; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2016-09-13)
    Gender classification is used in applications as a soft feature or attribute in biometrics to help identify people. Using gender classification as an indexing technique can boost the performance of facial-biometric. If the ...
  • Finding optimal locations for taxi stands on city map 
    Mittal, Yesha; Naik, Vinayak (Advisor); Gunturi, Venkata M. Viswanath (Advisor) (2016-09-13)
    We present an algorithm which suggests suitable locations for taxi stands on a city map. This is done using pickup locations information gathered from GPS devices installed on taxis. We aim at finding locations where taxi ...
  • Low rank group sparse representation based adaptive face recognition 
    Yadav, Shivangi; Vatsa, Mayank (Advisor) (2016-09-13)
    Face recognition is an important area of research due to its requirement in our day-to-day life, be it surveillance or authentication. Current advancements in technology and computational power have shown promising results ...
  • Guillotine cuts 
    Mahajan, Sahil; Raman, Rajiv (Advisor) (2016-09-13)
    In guillotine cut problem, we are given non-intersecting convex sets in the plane and we are allowed straight line cuts. If a cut passes through an object, it kills that object. Can one always save a constant fraction or ...
  • Deep dictionary learning 
    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 ...
  • High bandwidth planar power divider 
    Maktoomi, Md Ayatullah; Hashmi, Mohammad S. (Advisor) (2016-09-13)
    The power dividers are one of the most ubiquitous passive circuit elements in RF/Microwave applications. They are widely used in antenna arrays, balanced amplifiers, mixers, frequency multipliers etc. as power combiners ...
  • Measurement results for cooperative device-to-device communication in cellular networks 
    Singh, Vibhutesh Kumar; Bohara, Vivek Ashok (Advisor) (2016-09-13)
    Device-to-Device communication is expected to be a part of future 5G networks. Many researchers have provided solid theoretical concepts to implement it, but a real practical solution is still in dearth. In this work, first ...
  • Transfer reinforcement learning framework for energy saving in next generation wireless networks 
    Sharma, Shreyata; Srivastava, Anand (Advisor); Darak, Sumit Jagdish (Advisor) (2016-09-13)
    Recent upsurge in data intensive applications over wireless communication networks is stimulating rapid expansion of such networks and thus presenting new research challenges pertaining to their efficient deployment. In ...
  • Cooperative spectrum sharing with two-way relaying 
    Mittal, Saloni; Bohara, Vivek Ashok (Advisor) (2016-09-13)
    Modern wireless communication seeks more capacity and higher data rates as the cellular technology evolves from one generation to next generation standards (for instance 3G to 4G, and from 4G to presumably 5G). As a ...
  • Analysis dictionary learning for classification 
    Bhattacharjee, Protim; Majumdar, Angshul (Advisor) (2016-09-13)
    Data classification is the core of leading technologies today. With the explosion of data through mobility and growth of the Internet, analysis and classification of data is the immediate process after acquisition. Most ...
  • Class-wise deep dictionary learning 
    Khurana, Prerna; Majumdar, Angshul (Advisor) (2016-09-13)
    In this work we propose a classification framework called class-wise deep dictionary learning (CWDDL). For each class, multiple levels of dictionaries are learnt using features from the previous level as inputs (for first ...
  • Discriminative framework for single channel audio source separation 
    Gang, Arpita; Biyani, Pravesh (Advisor) (2016-09-13)
    Sound sources are a very common everyday occurrence. But a single audio source is seldom heard alone. There is a sea of applications, like speech recognition, where an isolated sound source is desirable. This makes audio ...
  • Resource allocation problems in G.fast and enterprise Wi-Fi networks 
    Raj, Ankita; Biyani, Pravesh (Advisor) (2016-09-13)
    This thesis addresses resource allocation problems in two different domains: G.fast and Wi-Fi. One of the key challenges in G.fast is to minimize power consumption at the distribution points. G.fast standards define ...
  • Robust autoencoders 
    Mehta, Janki; Majumdar, Angshul (Advisor) (2016-09-13)
    An autoencoder is an artificial neural network used for learning efficient codings. The aim of an autoencoder is to learn a representation of data, which can then be used for better classification or any such application. ...

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