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Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering最新文献

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Collaborative Filtering Recommendation Algorithm Based on User Evaluation and Potential Semantic Analysis 基于用户评价和潜在语义分析的协同过滤推荐算法
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引用次数: 0
Measure the Non-standard Port of Popular Protocols 测量流行协议的非标准端口
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引用次数: 0
Projected Iterative MVDR Beamforming for Null Broadening and First Sidelobe Suppression in the Presence of DOA Mismatch DOA不匹配下零展宽和第一副瓣抑制的投影迭代MVDR波束形成
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引用次数: 1
Leukocyte Detection in Blood Smear Image Based on Improved YOLOv3 基于改进YOLOv3的血液涂片图像白细胞检测
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引用次数: 2
Fine-grained Classification Using Multi-channel ResNet 使用多通道ResNet进行细粒度分类
Di Zang, Yiqing Yan, Jun Chen, Yang Li
. At present, fine-grained classification has attracted extensive attention. The task of fine-grained classification is difficult due to the challenge of accurately locating the key regions with resolution and extracting valid features from the detected key regions for classification. In this paper, we propose a new convolutional neural network (Multi-channel ResNet). Multi-channel ResNet uses Mask R-CNN for foreground extraction to reduce the interference of image background on fine-grained classification results. In addition, the four-channel ResNet module is used to learn fine-grained features at multiple scales, and Gaussian blur processing and crop processing are used to learn details and contours, all and local features, so as to improve the accuracy of fine-grained classification. The model does not require bounding box/part annotations. We experiment with the CUB_200_2011 dataset, and the results show that Multi-channel ResNet has an improvement in fine-grained classification tasks on the baseline of no pre-trained ResNet-18. We shows
. 目前,细粒度分类受到了广泛关注。细粒度分类的难点在于如何利用分辨率准确定位关键区域,并从检测到的关键区域中提取有效特征进行分类。本文提出了一种新的卷积神经网络(Multi-channel ResNet)。多通道ResNet采用Mask R-CNN进行前景提取,减少图像背景对细粒度分类结果的干扰。此外,利用四通道ResNet模块学习多尺度的细粒度特征,利用高斯模糊处理和裁剪处理学习细节和轮廓、全部和局部特征,提高细粒度分类的精度。该模型不需要边界框/部件注释。我们在CUB_200_2011数据集上进行了实验,结果表明,在没有预训练的ResNet-18的基线上,Multi-channel ResNet在细粒度分类任务上有改进。我们展示了
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引用次数: 0
Ensemble Learning Method for Enhancing Healthcare Classification 增强医疗保健分类的集成学习方法
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引用次数: 2
The Reliability Evaluation Method of Software and Hardware Integrated Systems Based on Belief Reliability 基于信度的软硬件集成系统可靠性评估方法
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引用次数: 0
Short-term Load Forecasting Based on Wavelet Decomposition and XGBoost 基于小波分解和XGBoost的短期负荷预测
{"title":"Short-term Load Forecasting Based on Wavelet Decomposition and XGBoost","authors":"","doi":"10.18178/wcse.2020.06.060","DOIUrl":"https://doi.org/10.18178/wcse.2020.06.060","url":null,"abstract":"","PeriodicalId":292895,"journal":{"name":"Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134398247","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: 0
Rule-Based Modeling and Simulation of Gene Expression Process 基于规则的基因表达过程建模与仿真
{"title":"Rule-Based Modeling and Simulation of Gene Expression Process","authors":"","doi":"10.18178/wcse.2020.06.054","DOIUrl":"https://doi.org/10.18178/wcse.2020.06.054","url":null,"abstract":"","PeriodicalId":292895,"journal":{"name":"Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123781533","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: 0
FLPD-GANS: Fake License Plate Discrimination GANS for Generalized Zero-Shot Learning flpd - gan:基于广义零射击学习的假车牌识别gan
{"title":"FLPD-GANS: Fake License Plate Discrimination GANS for Generalized Zero-Shot Learning","authors":"","doi":"10.18178/wcse.2020.06.026","DOIUrl":"https://doi.org/10.18178/wcse.2020.06.026","url":null,"abstract":"","PeriodicalId":292895,"journal":{"name":"Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123226948","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: 0
期刊
Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering
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