Recent Submissions

  • Visual object tracking using co-difference features 

    Demir, Hüseyin Seçkin (Bilkent University, 2017-08)
    Visual object tracking has been one of the widely studied computer vision tasks which has a broad range of applications in various areas from surveillance to medical studies. There are different approaches proposed for ...
  • Efficient learning strategies over distributed networks for big data 

    Kılıç, Osman Fatih (Bilkent University, 2017-08)
    We study the problem of online learning over a distributed network, where agents in the network collaboratively estimate an underlying parameter of interest using noisy observations. For the applicability of such systems, ...
  • Online learning in structured Markov decision processes 

    Akbarzadeh, Nima (Bilkent University, 2017-07)
    This thesis proposes three new multi-armed bandit problems, in which the learner proceeds in a sequence of rounds where each round is a Markov Decision Process (MDP). The learner's goal is to maximize its cumulative ...
  • Compressed sensing techniques for accelerated magnetic resonance imaging 

    Ilıcak, Efe (Bilkent University, 2017-08)
    Magnetic resonance imaging has seen a growing interest in the recent years due to its non-invasive and non-ionizing nature. However, imaging speed remains a major concern. Recently, compressed sensing theory has opened ...
  • Random access over wireless links: optimal rate and activity probability selection 

    Karakoç, Nurullah (Bilkent University, 2017-07)
    Due to the rapidly increasing number of devices in wireless networks with the proliferation of applications based on new technologies such as machine to machine communications and Internet of Things, there is a growing ...
  • Irregular repetition slotted ALOHA with energy harvesting nodes 

    Demirhan, Umut (Bilkent University, 2017-07)
    The importance of wireless networking schemes originating from ALOHA has rapidly risen with the wide-spread use of Internet, advancements in the communications systems and increasing number of wireless devices. ...
  • Text categorization using syllables and recurrent neural networks 

    Yar, Ersin (Bilkent University, 2017-07)
    We investigate multi class categorization of short texts. To this end, in the third chapter, we introduce highly efficient dimensionality reduction techniques suitable for online processing of high dimensional feature ...
  • Highly-doped silicon based photonic devices for mid-infrared light absorption 

    Görgülü, Kazim (Bilkent University, 2017-07)
    Electromagnetic wave absorbers have the potential to enable important applications in the mid-infrared wavelength range such as thermal imaging and infrared spectroscopy. The choice of absorbing material has signi cant ...
  • Sequential regression techniques with second order methods 

    Civek, Burak Cevat (Bilkent University, 2017-07)
    Sequential regression problem is one of the widely investigated topics in the machine learning and the signal processing literatures. In order to adequately model the underlying structure of the real life data sequences, ...
  • Safety limits & rapid scanning methods in magnetic particle imaging 

    Demirel, Ömer Burak (Bilkent University, 2017-07)
    Magnetic Particle Imaging (MPI) is a new imaging modality that utilizes nonlinear magnetization of superparamagnetic tracers, with high sensitivity and zeroionizing radiation advantages. Since the introduction of MPI in ...
  • Boosted adaptive filters 

    Kari, Dariush (Bilkent University, 2017-07)
    We investigate boosted online regression and propose a novel family of regression algorithms with strong theoretical bounds. In addition, we implement several variants of the proposed generic algorithm. We specifically ...
  • Wireless metamaterial-inspired rotation sensors 

    Gargari, Ali Maleki (Bilkent University, 2017-07)
    Recently steel construction structures have been attracting increasingly more attention due to the speed and ease of their construction. However, to detect potential damages in these structures, long-term and cost-e ...
  • Metal-insulator multistacks for absorption and photodetection 

    Dereshgi, Sina Abedini (Bilkent University, 2017-06)
    Metal-insulator (MI) stacks are one of the most studied nanoscale devices of the recent decade. These structures have opened a new door to endless photonic applications ranging from solar cells to waveguides and polarizers. ...
  • Analysis of spine sounds for spinal health assessment 

    Ahi, Mustafa Arda (Bilkent University, 2017-06)
    This thesis proposes a spinal health assessment system based on acoustic biosignals. The aim of this study is to offer an alternative to the conventional spinal health assessment techniques such as MR, CT or x-ray scans. ...
  • Multi-envelope precoding for massive mimo systems 

    Gümüş, Mücahit (Bilkent University, 2017-06)
    Wireless communications is an important part of information and communication technologies. Particularly, with the introduction of 5G wireless systems, higher data rates, ultra-low latencies and improved power efficiencies ...
  • Mid-infrared quantum cascade laser 

    Bozok, Berkay (Bilkent University, 2017-06)
    Mid-infrared quantum cascade laser technology has been developed rapidly since it was demonstrated in 1994. Since quantum cascade laser technology is small, robust and efficient, they have become commonly used mid-infrared ...
  • Low-bandwidth image reconstruction for magnetic particle imaging 

    Sarıca, Damla (Bilkent University, 2017-06)
    Magnetic Particle Imaging (MPI) is a high contrast tracer imaging modality with applications such as stem cell tracking, angiography and cancer imaging. In MPI, a time-varying magnetic field called the drive field is ...
  • Event-triggered distributed estimation with reduced communication load 

    Utlu, İhsan (Bilkent University, 2017-02)
    We propose a novel algorithm for distributed processing applications constrained by the available communication resources using diffusion strategies that achieves up to a 103 fold reduction in the communication load over ...
  • Biased competition in semantic representations across the human brain during category-based visual search 

    Shahdloo, Mohammad (Bilkent University, 2017-01)
    Humans can perceive thousands of distinct object and action categories in the visual scene and successfully divide their attention among multiple target categories. It has been shown that object and action categories are ...
  • Probing viscosity via relaxation in magnetic particle imaging 

    Ütkür, Mustafa (Bilkent University, 2017-01)
    Magnetic Particle Imaging (MPI) is a high-contrast imaging modality with applications such as angiography, stem cell tracking, and cancer imaging. In recent years, MPI was shown to be a potential functional imaging modality ...

View more