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Browsing Bilgisayar Mühendisliği Bölümü Makale Koleksiyonu by Issue Date 
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  • Browsing Bilgisayar Mühendisliği Bölümü Makale Koleksiyonu by Issue Date
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Browsing Bilgisayar Mühendisliği Bölümü Makale Koleksiyonu by Issue Date

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    • 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 ...
    • Computerized Ionospheric Tomography With The Iri Model 

      Arikan, Orhan; Ankan, Feza; Erol, Cemil B. (Elsevier Sci Ltd, 2007)
      Computerized ionospheric tomography (CIT) is a method to estimate ionospheric electron density distribution by using the global positioning system (GPS) signals recorded by the GPS receivers. Ionospheric electron density ...
    • 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 ...
    • Manifestation of an Adaptive Neuro-Fuzzy Model on Landslide Susceptibility Mapping: Klang Valley, Malaysia 

      Sezer, Ebru Akcapinar; Pradhan, Biswajeet; Gokceoglu, Candan (Pergamon-Elsevier Science Ltd, 2011)
      The purpose of the present paper is to manifest the results of the neuro-fuzzy model using remote sensing data and GIS for landslide susceptibility analysis in a part of the Klang Valley areas i Malaysia. Landslide locations ...
    • Anti-Ramsey Number of Matchings in Hypergraphs 

      Özkahya, 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 ...
    • On The Ratio Of Maximum And Minimum Degree In Maximal Intersecting Families 

      Nagy, Zoltan Lorant; Oezkahya, Late; Patkos, Balazs; Vizer, Mate (Elsevier Science Bv, 2013)
      To study how balanced or unbalanced a maximal intersecting family F subset of ((vertical bar n vertical bar) (r)) is we consider the ratio R(F) = Delta(F)/delta(F) of its maximum and minimum degree. We determine the order ...
    • S-Ide: A Tool Framework For Optimizing Deployment Architecture Of High Level Architecture Based Simulation Systems 

      Celik, Turgay; Tekinerdogan, Bedir (Elsevier Science Inc, 2013)
      One of the important problems in High Level Architecture (HLA) based distributed simulation systems is the allocation of the different simulation modules to the available physical resources. Usually, the deployment of the ...
    • 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 ...
    • 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 ...
    • Ensemble Of Multiple Instance Classifiers For Image Re-Ranking 

      Sener, Fadime; Ikizler-Cinbis, Nazli (Elsevier, 2014)
      Text-based image retrieval may perform poorly due to the irrelevant and/or incomplete text surrounding the images in the web pages. In such situations, visual content of the images can be leveraged to improve the image ...
    • Evolutionary Multiobjective Query Workload Optimization Of Cloud Data Warehouses 

      Dokeroglu, Tansel; Sert, Seyyit Alper; Cinar, Muhammet Serkan (2014)
      With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. Our novel approach minimizes both objectives by deploying alternative virtual resources ...
    • Improving The Performance Of Hadoop Hive By Sharing Scan And Computation Tasks 

      Dokeroglu, T; Ozal, S; Bayir, M.A; Cinar, M.S; Cosar, A. (2014)
    • Silhouette Extraction From Street View Images 

      Mutlu, Begum; Haciomeroglu, Murat; Guzel, Mehmet Serdar; Dikmen, Mehmet; Sever, Hayri (Sage Publications Inc, 2014)
      This study addresses the issue of silhouette extraction of a street, and proposes two novel approaches to overcome this problem. The first, namely hybrid stitching considers the silhouette extraction as an image stitching ...
    • Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System 

      Bal, Mert; Amasyali, M. Fatih; Sever, Hayri; Kose, Guven; Demirhan, Ayse (2014)
      The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, ...
    • 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, ...
    • A New Approach in Bloggers Classification with Hybrid of K-Nearest Neighbor and Artificial Neural Network Algorithms 

      Gharehchopogh, F.S; Khaze, S.R; Maleki, I. (2015)
    • A Weighted Rule Based Method for Predicting Malignancy of Pulmonary Nodules By Nodule Characteristics 

      Kaya, Aydın; 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 ...
    • 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 ...
    • 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 ...
    • Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures 

      Bernardi, Raffaella; Cakıcı, 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 ...
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