Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354078
Zohra Amekraz, Moulay Youssef Hadi
One of the main features that distinguishes the cloud computing from the other computing models is the ability to dynamically scale resources for users as needed. However, allocating resources in the cloud is not instantaneous; it takes several minutes for a virtual instance to be initialized. The obvious solution to this issue is to predict the future need of computing resources and allocate them before being requested. In this paper, we present a workload forecasting model based on the Autoregressive Moving Average (ARMA) model for both Gaussian and non-Gaussian processes. In the proposed method, the technique of Higher Order Statistics (HOS) is used in conjunction with the ARMA model to identify the appropriate forecasting model in case of Gaussian and non-Gaussian processes. Results of experiments show the efficiency of the proposed method compared to the traditional ARMA model.
{"title":"Higher order statistics based method for workload prediction in the cloud using ARMA model","authors":"Zohra Amekraz, Moulay Youssef Hadi","doi":"10.1109/ISACV.2018.8354078","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354078","url":null,"abstract":"One of the main features that distinguishes the cloud computing from the other computing models is the ability to dynamically scale resources for users as needed. However, allocating resources in the cloud is not instantaneous; it takes several minutes for a virtual instance to be initialized. The obvious solution to this issue is to predict the future need of computing resources and allocate them before being requested. In this paper, we present a workload forecasting model based on the Autoregressive Moving Average (ARMA) model for both Gaussian and non-Gaussian processes. In the proposed method, the technique of Higher Order Statistics (HOS) is used in conjunction with the ARMA model to identify the appropriate forecasting model in case of Gaussian and non-Gaussian processes. Results of experiments show the efficiency of the proposed method compared to the traditional ARMA model.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"56 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120977980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354051
Mohamed Zaifri, Ahmed Azough, Said Ouatik El Alaoui
Augmented reality goes beyond its description as a mere technology to a concept that sums up the convergence of multiple software and hardware technologies that are associated to enhance our vision of the world. The marriage of such a concept in its panoramic context with tourism has led to remarkable results. In this article, we present the modeling and implementation of a prototype of an Android mobile augmented reality application to serve as an electronic pocket guide to make visiting the medina of Fez even more attractive and informative. Replacing the database of specific historical monuments is sufficient to adapt the application to other cities.
{"title":"Experimentation of visual augmented reality for visiting the historical monuments of the medina of Fez","authors":"Mohamed Zaifri, Ahmed Azough, Said Ouatik El Alaoui","doi":"10.1109/ISACV.2018.8354051","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354051","url":null,"abstract":"Augmented reality goes beyond its description as a mere technology to a concept that sums up the convergence of multiple software and hardware technologies that are associated to enhance our vision of the world. The marriage of such a concept in its panoramic context with tourism has led to remarkable results. In this article, we present the modeling and implementation of a prototype of an Android mobile augmented reality application to serve as an electronic pocket guide to make visiting the medina of Fez even more attractive and informative. Replacing the database of specific historical monuments is sufficient to adapt the application to other cities.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121661035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354079
Kaoutar Lahmadi, I. Boumhidi
This work presents the stability and design of a nonlinear fuzzy observer-based controller. Based on Takagi — Sugeno fuzzy model and applying Lyapunov function with a PDC command and some lemma, sufficient conditions are developed. These conditions proposed concerns tow systems one contain the uncertainties parameters and another one without uncertainties parameters with external disturbances. Finally, to illustrate the effectiveness of the proposed theorems tow examples are presented: The first example deals with problem of fuzzy control stabilization for wind turbine generator with external disturbances. The second example given to guarantee the stability and performances on an inverted pendulum with uncertainties parameters.
{"title":"Stabilization analysis of observer-based controller for uncertain and disturbed T-S fuzzy model: Application to wind turbine","authors":"Kaoutar Lahmadi, I. Boumhidi","doi":"10.1109/ISACV.2018.8354079","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354079","url":null,"abstract":"This work presents the stability and design of a nonlinear fuzzy observer-based controller. Based on Takagi — Sugeno fuzzy model and applying Lyapunov function with a PDC command and some lemma, sufficient conditions are developed. These conditions proposed concerns tow systems one contain the uncertainties parameters and another one without uncertainties parameters with external disturbances. Finally, to illustrate the effectiveness of the proposed theorems tow examples are presented: The first example deals with problem of fuzzy control stabilization for wind turbine generator with external disturbances. The second example given to guarantee the stability and performances on an inverted pendulum with uncertainties parameters.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133875270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354030
Sara Sekkate, Mohammed Khalil, A. Adib
Effective Speaker Identification System (SIS) involves extracting features effectively. In this paper, we propose a feature extraction scheme based on wavelet analysis which is used along with short-term features. To overcome the drawbacks of Discrete Wavelet Transform (DWT), we propose to combine Stationary Wavelet Transform (SWT) with Mel-Frequency Cepstral Coefficient (MFCC) features. The combined features were used as inputs to K-nearest neighbors (Knn) classifier. The effectiveness of the proposed method is investigated for closed-set text-independent SIS in clean and noisy environments. The experimental results indicated that the proposed approach can achieve better identification rate performance with feature extraction using SWT rather than DWT.
{"title":"Fusing wavelet and short-term features for speaker identification in noisy environment","authors":"Sara Sekkate, Mohammed Khalil, A. Adib","doi":"10.1109/ISACV.2018.8354030","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354030","url":null,"abstract":"Effective Speaker Identification System (SIS) involves extracting features effectively. In this paper, we propose a feature extraction scheme based on wavelet analysis which is used along with short-term features. To overcome the drawbacks of Discrete Wavelet Transform (DWT), we propose to combine Stationary Wavelet Transform (SWT) with Mel-Frequency Cepstral Coefficient (MFCC) features. The combined features were used as inputs to K-nearest neighbors (Knn) classifier. The effectiveness of the proposed method is investigated for closed-set text-independent SIS in clean and noisy environments. The experimental results indicated that the proposed approach can achieve better identification rate performance with feature extraction using SWT rather than DWT.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133223512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354037
Amal Bouti, Mohamed Adnane Mahraz, J. Riffi, H. Tairi
Extracting the contents of a digital image has been proven a hard problem for computers. Since for them, an image is only a matrix of values, knowing what structures a human would recognize in this image, is a nontrivial problem. In this paper, we have implemented and tested a system of detection of road signs. The approach taken in this work consists of using convolutional neural network where this network is supposed to distinguish between different classes of signs (stop, attention etc.) and the final model will then be integrated to the autonomous cars. Tests carried out on the dataset GTSRB (The German Traffic Sign Recognition Benchmark) shows the performance of the system currently being developed.
{"title":"Road sign recognition with Convolutional Neural Network","authors":"Amal Bouti, Mohamed Adnane Mahraz, J. Riffi, H. Tairi","doi":"10.1109/ISACV.2018.8354037","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354037","url":null,"abstract":"Extracting the contents of a digital image has been proven a hard problem for computers. Since for them, an image is only a matrix of values, knowing what structures a human would recognize in this image, is a nontrivial problem. In this paper, we have implemented and tested a system of detection of road signs. The approach taken in this work consists of using convolutional neural network where this network is supposed to distinguish between different classes of signs (stop, attention etc.) and the final model will then be integrated to the autonomous cars. Tests carried out on the dataset GTSRB (The German Traffic Sign Recognition Benchmark) shows the performance of the system currently being developed.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131684093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354048
Loubna El Fattahi, E. Sbai
Clustering is the task of dividing data objects into meaningful groups named as clusters such that objects in the same cluster are similar and objects form different clusters are dissimilar. It is an important unsupervised technique more and more frequently adopted by several research communities. In this paper we introduce an enhanced kernel-based method for data transformation. The method is founded on the maximum entropy principle through the kernel entropy principal component analysis. Incorporating the kernel method, the input space can be implicitly mapped into a high-dimensional feature space. Therefore the nonlinear patterns turn linear. The key measure is Shannon's entropy estimated via the inertia provided by the contribution of each object in data. As a result, the proposed method uses kernel mapping function to map data before performing entropy principal component analysis. Then data could be reduced into lower dimension of valuable extracted features. This has a major effect on the fast search of center clusters based on the local densities. The method performs very well our clustering algorithm.
{"title":"Kernel entropy principal component analysis using Parzen estimator","authors":"Loubna El Fattahi, E. Sbai","doi":"10.1109/ISACV.2018.8354048","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354048","url":null,"abstract":"Clustering is the task of dividing data objects into meaningful groups named as clusters such that objects in the same cluster are similar and objects form different clusters are dissimilar. It is an important unsupervised technique more and more frequently adopted by several research communities. In this paper we introduce an enhanced kernel-based method for data transformation. The method is founded on the maximum entropy principle through the kernel entropy principal component analysis. Incorporating the kernel method, the input space can be implicitly mapped into a high-dimensional feature space. Therefore the nonlinear patterns turn linear. The key measure is Shannon's entropy estimated via the inertia provided by the contribution of each object in data. As a result, the proposed method uses kernel mapping function to map data before performing entropy principal component analysis. Then data could be reduced into lower dimension of valuable extracted features. This has a major effect on the fast search of center clusters based on the local densities. The method performs very well our clustering algorithm.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115164227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354046
Hasnae El Khoukhi, M. A. Sabri
Digital Image Processing (DIP) plays a vital role in the analysis and interpretation of remotely sensed data. It forms core research area within engineering and computer science disciplines too. This paper describes a proposal design for image processing in Verilog and that can be applied for any format of images like jpg, gif, bmp etc. The main advantage of using Verilog to simulate DIP of any logical inputs is related with the possibility of an immediate FPGA based hardware implementation. Our algorithm is designed in Verilog and simulated using the Matlab and Modelsim. In fact, the input image is converted to text/pixel using Matlab and results are stored in a new text file. Using Verilog with test bench program, the inputs, outputs and memory locations are assigned in the form of text file. Then, the output texts file back to image after a conversion step using Matlab. A comparative study between HDLs Simulation and Matlab are conducted. Obtained results show well the efficiency of the proposed design. As an extension of this work, we aim to implement an efficient FPGA based hardware design for a set of image processing, enhancement, and filtering algorithms.
{"title":"Comparative study between HDLs simulation and Matlab for image processing","authors":"Hasnae El Khoukhi, M. A. Sabri","doi":"10.1109/ISACV.2018.8354046","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354046","url":null,"abstract":"Digital Image Processing (DIP) plays a vital role in the analysis and interpretation of remotely sensed data. It forms core research area within engineering and computer science disciplines too. This paper describes a proposal design for image processing in Verilog and that can be applied for any format of images like jpg, gif, bmp etc. The main advantage of using Verilog to simulate DIP of any logical inputs is related with the possibility of an immediate FPGA based hardware implementation. Our algorithm is designed in Verilog and simulated using the Matlab and Modelsim. In fact, the input image is converted to text/pixel using Matlab and results are stored in a new text file. Using Verilog with test bench program, the inputs, outputs and memory locations are assigned in the form of text file. Then, the output texts file back to image after a conversion step using Matlab. A comparative study between HDLs Simulation and Matlab are conducted. Obtained results show well the efficiency of the proposed design. As an extension of this work, we aim to implement an efficient FPGA based hardware design for a set of image processing, enhancement, and filtering algorithms.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114686574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354071
Zakaria Kerkaou, Nawal Alioua, M. El Ansari, L. Masmoudi
This paper presents a new method for matching omnidirectional stereo images. The main idea of the proposed method consists in exploiting the temporal information for matching the stereo images acquired at the current time by involving the stereo images acquired at the preceding time. Three pairs are considered in the matching process, i.e., the current, the left temporally adjacent and the right temporally adjacent omnidirectional stereo images. All the three stereo pairs are used together in order to overcome the problem of blind spots near the epipoles. The proposed approach is achieved in three main steps. The first step performs the spherical rectification on the three input pairs. In the second step, we apply the proposed dynamic programming-based stereo matching algorithm on the resulting three rectified pairs. Disparity ranges for each scanline are computed from the v-disparity maps generated based on the disparity maps computed at the preceding time. This reduces the matching candidates and speeds up the matching process. In the final step, we combine the three disparity maps into a single 360° disparity map. The proposed method has been tested on real omnidirectional images and the results provided are promising.
{"title":"A new dense omnidirectional stereo matching approach","authors":"Zakaria Kerkaou, Nawal Alioua, M. El Ansari, L. Masmoudi","doi":"10.1109/ISACV.2018.8354071","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354071","url":null,"abstract":"This paper presents a new method for matching omnidirectional stereo images. The main idea of the proposed method consists in exploiting the temporal information for matching the stereo images acquired at the current time by involving the stereo images acquired at the preceding time. Three pairs are considered in the matching process, i.e., the current, the left temporally adjacent and the right temporally adjacent omnidirectional stereo images. All the three stereo pairs are used together in order to overcome the problem of blind spots near the epipoles. The proposed approach is achieved in three main steps. The first step performs the spherical rectification on the three input pairs. In the second step, we apply the proposed dynamic programming-based stereo matching algorithm on the resulting three rectified pairs. Disparity ranges for each scanline are computed from the v-disparity maps generated based on the disparity maps computed at the preceding time. This reduces the matching candidates and speeds up the matching process. In the final step, we combine the three disparity maps into a single 360° disparity map. The proposed method has been tested on real omnidirectional images and the results provided are promising.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133243873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354023
El Benany, El Beqqali
This in these recent years, the interoperability of e-Government applications has been an extremely important research and development ICT domain to facilitate the seamless exchange of information across public and private sectors department of government. Many researchers and practitioners have focused on the adaptation and design of Government Interoperability Frameworks to do a form of relationship in the E-Government implementations. The major elements relevant to E-Government interoperability are conformance and compliance and there are a large number of Government applications that are available on the web. It is very difficult to automate interoperability because of the heterogeneity in the development of these. E-Government applications, the heterogeneous platforms on which the applications run, the complexity of web interface that is not machine-friendly and the Non-standard format used for data input/output. In this paper web services and business process engines have been developed as a standard based on the models of XML specification for message exchanged between heterogeneous applications by using a web services choreography language to remedy these problems.
{"title":"Choreography for interoperability in the e-Government applications","authors":"El Benany, El Beqqali","doi":"10.1109/ISACV.2018.8354023","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354023","url":null,"abstract":"This in these recent years, the interoperability of e-Government applications has been an extremely important research and development ICT domain to facilitate the seamless exchange of information across public and private sectors department of government. Many researchers and practitioners have focused on the adaptation and design of Government Interoperability Frameworks to do a form of relationship in the E-Government implementations. The major elements relevant to E-Government interoperability are conformance and compliance and there are a large number of Government applications that are available on the web. It is very difficult to automate interoperability because of the heterogeneity in the development of these. E-Government applications, the heterogeneous platforms on which the applications run, the complexity of web interface that is not machine-friendly and the Non-standard format used for data input/output. In this paper web services and business process engines have been developed as a standard based on the models of XML specification for message exchanged between heterogeneous applications by using a web services choreography language to remedy these problems.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131030387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.1109/ISACV.2018.8354073
Zakariae Abbad, Enrif Madina, Ahmed Drissi el Maliani, S. El Alaoui Ouatik, M. El Hassouni
In this paper, we present a color texture characterization by studying novel information of complex wavelet coefficients which we call extended relative phase (ERP) information. By definition, this latter permits to consider relation between color subbands by using straightforward univariate models, and thus avoiding cumbersomeness of multivariate fitting. The ERP information is modeled by three well known circular distributions namely, VonMises (VM), Wrapped Cauchy (WC) and Vonn. All the three models present, advantages of simple feature extraction (using maximum likelihood estimation) and similarity measurement (known forms of Kullback-leibler divergence) steps, which extremely helps for the runtime issue. Experimental results on the Vistex database show that considering ERP inter color subbands improves retrieval performances over the use of conventional relative phase intra grayscale subbands.
{"title":"Color texture characterization based on the extended relative phase in the complex wavelets domain","authors":"Zakariae Abbad, Enrif Madina, Ahmed Drissi el Maliani, S. El Alaoui Ouatik, M. El Hassouni","doi":"10.1109/ISACV.2018.8354073","DOIUrl":"https://doi.org/10.1109/ISACV.2018.8354073","url":null,"abstract":"In this paper, we present a color texture characterization by studying novel information of complex wavelet coefficients which we call extended relative phase (ERP) information. By definition, this latter permits to consider relation between color subbands by using straightforward univariate models, and thus avoiding cumbersomeness of multivariate fitting. The ERP information is modeled by three well known circular distributions namely, VonMises (VM), Wrapped Cauchy (WC) and Vonn. All the three models present, advantages of simple feature extraction (using maximum likelihood estimation) and similarity measurement (known forms of Kullback-leibler divergence) steps, which extremely helps for the runtime issue. Experimental results on the Vistex database show that considering ERP inter color subbands improves retrieval performances over the use of conventional relative phase intra grayscale subbands.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134273871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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