Recent Submissions

  • Open Source Software Usage On Municipalities; A Case Study: Cankaya Municipality 

    Erzurumlu, Kerem; Vahabdjanov, Dilmurad; Çıtak, Murat; Solmaz, Sami (Elsevier Science Bv, 2011)
    As well known, the Open Source Software becomes the leading information technology day by day. There are open source alternatives of the most of the commercial softwares. In this case study, we will examine the open source ...
  • FRACTIONAL ORDER FEEDBACK CONTROL OF NONLINEAR AERIAL SYSTEMS 

    Yaghi, Murad A. (Fen Bilimleri Enstitüsü, 2019-11-12)
    In this dissertation, a system of Fractional Order Proportional Integral Derivative controller is introduced and implemented to a radar guided missile in order to track a high-speed flying target. Many novel intelligent ...
  • Learning Based Image and Video Editing 

    Karacan, Levent (Fen Bilimleri Enstitüsü, 2019-12-05)
    Image and video editing encompasses the wide range of image operations to give desired visual effects to a given image or video either for improving various visual properties such as color, contrast, luminance or better ...
  • Classifying Fonts And Calligraphy Styles Using Complex Wavelet Transform 

    Bozkurt, Alican; Duygulu, Pinar; Cetin, A. Enis (Springer London Ltd, 2015)
    Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases. A generic font recognition system independent of language, ...
  • B-Mode Echotexture Analysis And Color Doppler Sonography In Canine Mammary Tumors 

    Mulazimoglu, Serkan Baris; Beceriklisoy, Hakki Bulent; Schafer-Somi, Sabine; Kaya, Mahir; Bumin, Ali; Ozenc, Erhan; Gultiken, Nilgun; Kanca, Halit; Gunen, Munevver Ziynet; Kutsal, Osman; Emre, Birten; Evangelos, Kiossis; Aslan, Selim (Kafkas Univ, Veteriner Fakultesi Dergisi, 2016)
    Forty-one mammary gland tumors from twenty eight bitches were used for the study. Ultrasonographic examinations of tumor masses were performed before surgical excision and a quadratic region-of-interest (ROI) was chosen ...
  • Characteristic Usage Of Turkish Internet Users In Office Environment 

    Seydi, Keceli Ali; Kerem, Erzurumlu (Elsevier Science Bv, 2011)
    In this paper, a lawyer office's network and internet traffic will be examined for determining the characteristics of users and network traffic load. In order to do that, some modifications on the lawyers office is made. ...
  • Automatic Description Generation From Images: A Survey Of Models, Datasets, And Evaluation Measures 

    Bernardi, Raffaella; Cakici, Ruket; Elliott, Desmond; Erdem, Aykut; Erdem, Erkut; Ikizler-Cinbis, Nazli; Keller, Frank; Muscat, Adrian; Plank, Barbara (Ai Access Foundation, 2016)
    Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we ...
  • Assessment Of Fractal Dimension And Geometrical Characteristics Of The Landslides Identified In North Of Tehran, Iran 

    Pourghasemi, H. R.; Moradi, H. R.; Aghda, S. M. Fatemi; Sezer, E. A.; Jirandeh, A. Goli; Pradhan, B. (Springer, 2014)
    The aim of the presented study is to assess the fractal dimension (D) and the geometrical characteristics (length and width) of the landslides identified in North of Tehran, Iran. At first, the landslide locations (528 ...
  • Anti-Ramsey Number Of Matchings In Hypergraphs 

    Ozkahya, Lale; Young, Michael (Elsevier Science Bv, 2013)
    A k-matching in a hypergraph is a set of k edges such that no two of these edges intersect. The anti-Ramsey number of a k-matching in a complete s-uniform hypergraph H on n vertices, denoted by ar(n, s, k), is the smallest ...
  • Volumetric Object Recognition Using 3-D Cnns On Depth Data 

    Caglayan, Ali; Can, Ahmet Burak (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
    Recognizing 3-D objects has a wide range of application areas from autonomous robots to self-driving vehicles. The popularity of low-cost RGB-D sensors has enabled a rapid progress in 3-D object recognition in the recent ...
  • Visual Saliency Estimation By Nonlinearly Integrating Features Using Region Covariances 

    Erdem, Erkut; Erdem, Aykut (Assoc Research Vision Ophthalmology Inc, 2013)
    To detect visually salient elements of complex natural scenes, computational bottom-up saliency models commonly examine several feature channels such as color and orientation in parallel. They compute a separate feature ...
  • Two-Person Interaction Recognition Via Spatial Multiple Instance Embedding 

    Sener, Fadime; Ikizler-Cinbis, Nazli (Academic Press Inc Elsevier Science, 2015)
    In this work, we look into the problem of recognizing two-person interactions in videos. Our method integrates multiple visual features in a weakly supervised manner by utilizing an embedding-based multiple instance learning ...
  • Tree Structured Dirichlet Processes For Hierarchical Morphological Segmentation 

    Can, Burcu; Manandhar, Suresh (Mit Press, 2018)
    This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word ...
  • Use Of Acoustic Prior Information For Confidence Measure In Asr (Automatic Speech Recognition) Applications 

    Mengusoglu, E; Ris, C (Acoustical Soc Amer Amer Inst Physics, 2005)
    In this paper, a new acoustic confidence measure of automatic speech recognition hypothesis is proposed and it is compared to approaches proposed in the literature. This approach takes into account prior information on the ...
  • The Visual Object Tracking Vot2016 Challenge Results 

    Kristan, Matej; Leonardis, Ales; Matas, Jiri; Felsberg, Michael; Pflugfelder, Roman; Cehovin, Luka; Vojir, Tomas; Hager, Gustav; Lukezic, Alan; Fernandez, Gustavo; Gupta, Abhinav; Petrosino, Alfredo; Memarmoghadam, Alireza; Garcia-Martin, Alvaro; Montero, Andres Solis; Vedaldi, Andrea; Robinson, Andreas; Ma, Andy J.; Varfolomieiev, Anton; Alatan, Aydin; Erdem, Aykut; Ghanem, Bernard; Liu, Bin; Han, Bohyung; Martinez, Brais; Chang, Chang-Ming; Xu, Changsheng; Sun, Chong; Kim, Daijin; Chen, Dapeng; Du, Dawei; Mishra, Deepak; Yeung, Dit-Yan; Gundogdu, Erhan; Erdem, Erkut; Khan, Fahad; Porikli, Fatih; Zhao, Fei; Bunyak, Filiz; Battistone, Francesco; Zhu, Gao; Roffo, Giorgio; Subrahmanyam, Gorthi R. K. Sai; Bastos, Guilherme; Seetharaman, Guna; Medeiros, Henry; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Lu, Huchuan; Lee, Hyemin; Nam, Hyeonseob; Chang, Hyung Jin; Drummond, Isabela; Valmadre, Jack; Jeong, Jae-chan; Cho, Jae-il; Lee, Jae-Yeong; Zhu, Jianke; Feng, Jiayi; Gao, Jin; Choi, Jin Young; Xiao, Jingjing; Kim, Ji-Wan; Jeong, Jiyeoup; Henriques, Joao F.; Lang, Jochen; Choi, Jongwon; Martinez, Jose M.; Xing, Junliang; Gao, Junyu; Palaniappan, Kannappan; Lebeda, Karel; Gao, Ke; Mikolajczyk, Krystian; Qin, Lei; Wang, Lijun; Wen, Longyin; Bertinetto, Luca; Rapuru, Madan Kumar; Poostchi, Mahdieh; Maresca, Mario; Danelljan, Martin; Mueller, Matthias; Zhang, Mengdan; Arens, Michael; Valstar, Michel; Tang, Ming; Baek, Mooyeol; Khan, Muhammad Haris; Wang, Naiyan; Fan, Nana; Al-Shakarji, Noor; Miksik, Ondrej; Akin, Osman; Moallem, Payman; Senna, Pedro; Torr, Philip H. S.; Yuen, Pong C.; Huang, Qingming; Martin-Nieto, Rafael; Pelapur, Rengarajan; Bowden, Richard; Laganiere, Robert; Stolkin, Rustam; Walsh, Ryan; Krah, Sebastian B.; Li, Shengkun; Zhang, Shengping; Yao, Shizeng; Hadfield, Simon; Melzi, Simone; Lyu, Siwei; Li, Siyi; Becker, Stefan; Golodetz, Stuart; Kakanuru, Sumithra; Choi, Sunglok; Hu, Tao; Mauthner, Thomas; Zhang, Tianzhu; Pridmore, Tony; Santopietro, Vincenzo; Hu, Weiming; Li, Wenbo; Huebner, Wolfgang; Lan, Xiangyuan; Wang, Xiaomeng; Li, Xin; Li, Yang; Demiris, Yiannis; Wang, Yifan; Qi, Yuankai; Yuan, Zejian; Cai, Zexiong; Xu, Zhan; He, Zhenyu; Chi, Zhizhen (Springer International Publishing Ag, 2016)
    The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number ...
  • The Thermal Infrared Visual Object Tracking Vot-Tir2016 Challenge Results 

    Felsberg, Michael; Kristan, Matej; Matas, Jiri; Leonardis, Ales; Pflugfelder, Roman; Hager, Gustav; Berg, Amanda; Eldesokey, Abdelrahman; Ahlberg, Jorgen; Cehovin, Luka; Vojir, Tomas; Lukezic, Alan; Fernandez, Gustavo; Petrosino, Alfredo; Garcia-Martin, Alvaro; Montero, Andres Solis; Varfolomieiev, Anton; Erdem, Aykut; Han, Bohyung; Chang, Chang-Ming; Du, Dawei; Erdem, Erkut; Khan, Fahad Shahbaz; Porikli, Fatih; Zhao, Fei; Bunyak, Filiz; Battistone, Francesco; Zhu, Gao; Seetharaman, Guna; Li, Hongdong; Qi, Honggang; Bischof, Horst; Possegger, Horst; Nam, Hyeonseob; Valmadre, Jack; Zhu, Jianke; Feng, Jiayi; Lang, Jochen; Martinez, Jose M.; Palaniappan, Kannappan; Lebeda, Karel; Gao, Ke; Mikolajczyk, Krystian; Wen, Longyin; Bertinetto, Luca; Poostchi, Mahdieh; Maresca, Mario; Danelljan, Martin; Arens, Michael; Tang, Ming; Baek, Mooyeol; Fan, Nana; Al-Shakarji, Noor; Miksik, Ondrej; Akin, Osman; Torr, Philip H. S.; Huang, Qingming; Martin-Nieto, Rafael; Pelapur, Rengarajan; Bowden, Richard; Laganiere, Robert; Krah, Sebastian B.; Li, Shengkun; Yao, Shizeng; Hadfield, Simon; Lyu, Siwei; Becker, Stefan; Golodetz, Stuart; Hu, Tao; Mauthner, Thomas; Santopietro, Vincenzo; Li, Wenbo; Huebner, Wolfgang; Li, Xin; Li, Yang; Xu, Zhan; He, Zhenyu (Springer International Publishing Ag, 2016)
    The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object ...
  • A Weighted Rule Based Method For Predicting Malignancy Of Pulmonary Nodules By Nodule Characteristics 

    Kaya, Aydin; Can, Ahmet Burak (Academic Press Inc Elsevier Science, 2015)
    Predicting malignancy of solitary pulmonary nodules from computer tomography scans is a difficult and important problem in the diagnosis of lung cancer. This paper investigates the contribution of nodule characteristics ...
  • The Problems Of Public Accessed Computer Laboratories And A Suggestion For These Problems' Solution 

    Kerem, Erzurumlu; Aydin, Kaya (Elsevier Science Bv, 2011)
    In this paper, the cronical problems of computer laboratories which are commonly used on educational institutes will be investigated and an alternative solution to this problems will be provided. In this concept, firstly, ...
  • Testing Embedded Software: A Survey Of The Literature 

    Garousi, Vahid; Felderer, Michael; Karapicak, Cagri Murat; Yilmaz, Ugur (Elsevier Science Bv, 2018)
    Context Embedded systems have overwhelming penetration around the world. Innovations are increasingly triggered by software embedded in automotive, transportation, medical-equipment, communication, energy, and many other ...
  • Systematic Mapping Of Process Mining Studies In Healthcare 

    Erdogan, Tugba Gurgen; Tarhan, Ayca (Ieee-Inst Electrical Electronics Engineers Inc, 2018)
    In the last decade, as an emerging technique for business processes management, process mining (PM) has been applied in many domains, including manufacturing, supply-chain, government, healthcare, and software engineering. ...

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