2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)最新文献_第8页

Corners as interesting points in biologically inspired object recognition, HMAX 角作为有趣的点在生物启发的对象识别，HMAX

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167939

H. Sufikarimi, K. Mohammadi

{"title":"Corners as interesting points in biologically inspired object recognition, HMAX","authors":"H. Sufikarimi, K. Mohammadi","doi":"10.1109/ICCKE.2017.8167939","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167939","url":null,"abstract":"In this paper a new approach is proposed to improve accuracy, robustness and process time in HMAX for object recognition. The HMAX is a hierarchal biologically inspired model which leads to a good performance in object recognition. Despite achieving a relatively good classification rate, its result is not stable, and it is varied during each program run, which means it is not a repeatable approach. Using randomly selected features, the HMAX has an inconstant classification rate. We propose to change the strategy of feature selection in the standard HMAX. By repeatable feature selecting, the HMAX achieves a very good repeatable performance which is more reliable in comparison with the previous result. To cope with unrepeatability in the HMAX, we suggest that corners which are extracted by the Harris corner detection can be selected as key points. By this alternation, we receive a higher classification rate and a lower computation time. The proposed approach shows excellent performance especially when the number of training images and extracted features is low. In the training stage, only five images for positive classes and five images for negative classes are used. Classification rate and time consumption are evaluated in Caltech dataset. Furthermore, the effect of the number of feature is demonstrated in both new approach and the standard HMAX features.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129119440","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}

引用次数: 2

A low-power hybrid non-volatile cache with asymmetric coding 具有非对称编码的低功耗混合非易失性缓存

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167891

Omid Hajihassani, Armin Ahmadzadeh, Mohsen Gavahi, Mohammadreza Raei, Dara Rahmati, S. Gorgin

{"title":"A low-power hybrid non-volatile cache with asymmetric coding","authors":"Omid Hajihassani, Armin Ahmadzadeh, Mohsen Gavahi, Mohammadreza Raei, Dara Rahmati, S. Gorgin","doi":"10.1109/ICCKE.2017.8167891","DOIUrl":"https://doi.org/10.1109/ICCKE.2017.8167891","url":null,"abstract":"Cache memories such as magnetic ram or phase change memory came a long way in term of their architecture from their earlier models and have marked differences in power, performance, access latency, and dynamic/static energy consumption. In our work, we propose a hybrid cache design that exploits the characteristics of the employed cache technologies to achieve better power and area efficiency alongside the asymmetric coding that increases the ratio of 0s to 1s in the cache data by adding an order of information redundancy to the cache's original data. We benefit from a hybrid cache memory architecture that utilizes the positive aspects of STT-RAM and SRAM technologies to propose a solution that is more energy efficient compared to conventional cache architectures. By the evaluation of programs' cache data from Splash-2 and Parsec suits, it is indicated that alone by the hybrid architecture the total static and dynamic power consumption has dropped by 55% compared to the SRAM and DRAM caches and the area has reduced by 45%. With the aid of the proposed coding scheme, the number of set operations issued to cache has decreased by 47%. This reduces the write power of programs by 24%, leading to an overall 14% reduction in the programs' total static and dynamic power consumption.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125266994","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}

引用次数: 1

Adaptive temporal error concealment method based on the MB behavior estimation in the video 基于视频中MB行为估计的自适应时间误差隐藏方法

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167874

S. M. Zabihi, Hossein Ghanei-Yakhdan, N. Mehrshad

引用次数: 2

A novel platform of validity concept and fuzzy Kalman filter applied to conservation voltage reduction assessment 基于有效性概念和模糊卡尔曼滤波的节能降压评估平台

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-10-01 DOI: 10.1109/ICCKE.2017.8167944

F. Sabahi

引用次数: 0

Golden years, golden shores: A study of elders in online travel communities 黄金岁月，黄金海岸:在线旅游社区中老年人的研究

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-08-22 DOI: 10.1109/ICCKE.2017.8167875

Bartłomiej Balcerzak, R. Nielek

引用次数: 3

A comparative analysis of classification algorithms in diabetic retinopathy screening 糖尿病视网膜病变筛查分类算法的比较分析

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2017-07-05 DOI: 10.18293/SEKE2017-207

Saboora Mohammadian, A. Karsaz, Yaser M. Roshan

{"title":"A comparative analysis of classification algorithms in diabetic retinopathy screening","authors":"Saboora Mohammadian, A. Karsaz, Yaser M. Roshan","doi":"10.18293/SEKE2017-207","DOIUrl":"https://doi.org/10.18293/SEKE2017-207","url":null,"abstract":"Automated screening of diabetic retinopathy plays an important role in diagnosis of the disease in early stages and preventing blindness in patients with diabetes. Various machine learning approaches have been studied in literature with the purpose of improving the accuracy of the screening methods. Although the performance of the machine learning algorithm depends on the application and the type of data, yet there is no comprehensive analysis of different approaches in the diabetic retinopathy screening to choose the best approach. To this end, in this study a comparative analysis of nine common classification algorithms is performed to select the most applicable approach for the specific problem of screening diabetic retinopathy patients. Individual algorithms are optimized with respect to their tunable parameters, and are compared together in terms of their accuracy, precision, recall, and F1-score. Simulation results demonstrate the difference between the performances of individual classification algorithms and can be used as a deciding factor in method selection for further research.","PeriodicalId":151934,"journal":{"name":"2017 7th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116300228","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}

引用次数: 17

Diagnosis of Coronary Artery Disease using Cuckoo Search and genetic algorithm in single photon emision computed tomography images 杜鹃搜索和遗传算法在单光子发射计算机断层成像中的应用

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 1900-01-01 DOI: 10.1109/ICCKE.2017.8167898

N. Samadiani, S. Moameri

引用次数: 3