Browsing M.S. Theses by Title

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  • 3D face registration using multiple average models 
    Alyüz, Neşe. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Three dimensional (3D) face recognition is a frequently used biometric method and its performance is substantially dependent on the accuracy of registration. In this work, we explore registration techniques. Registration ...
  • 3D human pose estimation from multi-view RGB images 
    Temiz, Hüseyin. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Recovery of a 3D human pose from cameras has been the subject of intensive research in the last decade. Algorithms that can estimate the 3D pose from a single image have been developed. At the same time, many camera ...
  • 3D shape generation and manipulation 
    Dirik, Alara. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Computer graphics, 3D computer vision and robotics communities have pro duced multiple approaches to represent and generate 3D shapes, as well as a vast number of use cases. These use cases include, but are not limited to, ...
  • A BCPL translator using recursive descent technique 
    Kadifeli, Vasıl. (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1984., 1984.)
    This thesis describes the implementation of a BCPL translator on a CDCCYBER 170/815 computer system using Recursive Descent Technique. The translator has been written in Pascal. The output of the translator is CDC COMPASS ...
  • A biometric authentication technique using spread spectrum audio watermarking 
    Can, Yekta Said. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Watermarking has become important in the last decade because of the copyright protection applications. Embedding information into an audio le is more di cult as compared to images, because human auditory system is more ...
  • A blockchain based group key agreement protocol (B-GKAP) 
    Taçyıldız, Yaşar Berkay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Group key agreement protocols are crucial in the case of multiple parties agreeing on a common key without a centralized entity. However, the decentralized characteristic of these protocols causes performance challenges ...
  • A common subexpression elimination-based compression method for the constant matrix multipication 
    Bilgili, Emre. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    The execution time, resource and energy costs of deep learning applications become much more important as their popularity grows. The Constant Matrix Multi plication has been studied for a long time and takes place in deep ...
  • A comparative evaluation of machine learning algorithms for statistical downscaling of monthly mean temperature data over European region 
    Eser, Günay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Climate change is the most vital environmental change that has already started to affect many ecosystems. It is caused by greenhouse gas emissions which are increasing since the pre- industrial era, and populated areas ...
  • A comprehensive analysis of subword tokenizers for morphologically rich languages 
    Erkaya, Erencan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Transformer language models have paved the way for outstanding achievements on a wide variety of natural language processing tasks. The first step in transformer models is dividing the input into tokens. Over the years, ...
  • A comprehensive analysis of using WordNet, part-of-speech tagging, and word sense disambiguation in text categorization 
    Çelik, Kerem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    By the huge increase of data volume in the digital environment and the machine learning techniques, studies on automatic categorization of text documents is increased. Text categorization is simply assigning prede ned label ...
  • A content based microblogger recommendation model 
    Çelebi, Hüseyin Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    Social networks are one of the most signi cant information sources on the Internet. People share information, their feelings, their opinions and interesting links. A microblogging system is a special kind of social network ...
  • A cultural market model 
    Herdağdelen, Amaç. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
  • A decentralized framework with dynamic and event-driven container orchestration at the edge 
    Özyar, Umut Can. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Persistent advancements are being made at a rapid pace on enabling edge com puting for the Internet of Things technology to capitalize on. Vendors and developers are exploring new techniques to smooth out the process of ...
  • A defect prediction method for software versioning 
    Kastro, Yomi. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    Software lifecycle is becoming more human-independent with the help of new methodologies and tools. Many of the research in this field focus on defect reduction, defect identification and defect prediction. Defect prediction ...
  • A drawing tool for protein interaction maps in Kohn notation 
    Edes, Mine. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    Cancer is one of the most lethal and common diseases of today. Causes of cancer have been studied widely as it is an essential part of cancer research. Cancer is mainly caused by malfunctioning of the tumor suppressor ...
  • A dynamic saliency based method for video retargeting 
    Koçberber, Hatice Çiğdem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    With increased usage of smartphones, tablets and small displays to play multimedia content, video retargeting becomes an important tool for better user experience. In this thesis, we propose a novel content-based approach ...
  • A gan-based hybrid data augmentation framework on chest x-ray images and reports 
    Özfidan, Hasan Berat. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Classical data augmentation techniques are widely used by many image classifi cation applications in the absence of adequate training data. These data augmentation techniques consists of but not limited with reflection, ...
  • A general object tracker for locating objects in digital video 
    Fidaner, Işık Barış. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Tracking a human head in a complicated scene with changing object pose, illumination conditions, and many occluding objects, is the subject of this thesis. A general tracking algorithm is presented, which uses a combination ...
  • A hybrid BERT-GAN system for protein - protein interaction extraction from biomedical text 
    Basmacı, Mert. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Considering the rapid increase in the biomedical literature, manual extraction of information regarding Protein-Protein Interactions (PPIs) becomes an exhausting task. Therefore, there is a strong need for the development ...
  • A knowledge-graph based graph neural network model to identify topics in short texts 
    Güney, Abdullah Atakan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Topic models are probabilistic generative models used to analyze a collection of documents. People have leveraged topic models for many years to extract hidden structures from documents. However, classical topic models ...

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