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Browsing Boğaziçi Üniversitesi Tezleri by Subject "Pattern recognition systems."

Browsing Boğaziçi Üniversitesi Tezleri by Subject "Pattern recognition systems."

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  • 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 ...
  • Yeşilbursa, Mansur. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Sign languages are the main medium of communication for the Deaf. However, insufficient retrieval tools for sign languages restrict the Deaf’s access to information. To address this issue, we tackle the problem of keyword ...
  • Baykut, Alper. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2002., 2002.)
    This thesis studies methodologies to combine multiple classifiers to improve classification accuracy. Different classifiers, training methods and combination algorithms are covered throughout this study. The classifiers ...
  • Kındıroğlu, Ahmet Alp. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2011., 2011.)
    In this thesis, we focus on the problem of computer vision based automatic signlanguage recognition and its related subtasks. The study focuses on the recognition of ngerspelling gestures, which are a subset of sign ...
  • Kamaşak, Mustafa. (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1999., 1999.)
    Face databases can consist of a few hundreds of face images to thousands, even millions. Because of storage and banwidth limitations, face databases are maintained under compressed domain. One of the related problems is ...
  • Arı, İsmail. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Extracting and tracking facial features in image sequences automatically is a required first step in many applications including expression classification. When sign language recognition is concerned, expressions imply ...
  • Sağlam, Pınar. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    This thesis documents a study in which new algorithms are developed for geometry based hand vein biometry. Hand vein patterns are assumed not to change over time except in their size, and they are unique to each individual, ...
  • Turhan, Burak. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    The aim of dimensionality reduction is to find a lower dimensional, simpler representation while keeping the important information in the data. It is essential to employ dimensionality reduction for high dimensional data ...
  • Denizhan, Yağmur. (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1984., 1984.)
    In this project a method is presented that enables a shift, ratation and scale independent representation of a 2-dimentional shape in the computer memory and a criterion is proposed for the comparison of two (or more) such ...
  • Amet, Ahmet Latif. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Sciences and Engineering, 1997., 1997.)
    In recent years, achievements obtained in machine vision were on the way to facilitate computers replace several tasks heretofore performed by humans. Among those tasks, visual inspection of textile fabrics is one of ...
  • Aran, Oya. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    This thesis addresses the problem of vision based sign language recognition and focuses on three main tasks to design improved techniques that increase the perfor- mance of sign language recognition systems. We first attack ...

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