Dil "en" Bilgisayar Mühendisliği Bölümü Bildiri / Sunu / Poster Koleksiyonu için listeleme

Toplam kayıt 7, listelenen: 1-7

    • A Tool for Automated Inspection of Software Design Documents and its Empirical Evaluation in an Aviation Industry Setting 

      Coskun ,M. Evren; Ceylan ,M. Melta; Yigitözu ,Kadir; Garousi ,Vahid (Ieee, 2016)
      While software inspection is an effective activity to detect defects early in the software development lifecycle, it is an effort-intensive and error-prone activity. Motivated by a real need in the context of the Turkish ...

    • 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. ...

    • Password Management Diffuculties in System and Network Management 

      Huseyin, Temucin; Kerem, Erzurumlu (Elsevier Science Bv, 2011)
      In this paper, password management problems of network and system management will be handled. In this concept, password management and its usage in systems and networks will be introduced. Then password management problems ...

    • Predicting Food Demand in Food Courts by Decision Tree Approaches 

      Bozkir, Ahmet Selman; Sezer, Ebru Akcapinar (Elsevier Science Bv, 2011)
      Fluctuations and unpredictability in food demand generally cause problems in economic point of view in public food courts. In this study, to overcome this problem and predict actual consumption demand for a specified menu ...

    • 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, ...

    • 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 ...

    • 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 ...