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IAPR International Workshop on Artificial Neural Networks in Pattern Recognition最新文献

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Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning 基于深度学习的语义分割约束盒监督生成
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.1007/978-3-319-99978-4_15
S. Bonechi, P. Andreini, M. Bianchini, F. Scarselli
{"title":"Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning","authors":"S. Bonechi, P. Andreini, M. Bianchini, F. Scarselli","doi":"10.1007/978-3-319-99978-4_15","DOIUrl":"https://doi.org/10.1007/978-3-319-99978-4_15","url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"344 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116237518","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: 7
Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text 结合深度学习和符号处理从原始文本中提取知识
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.1007/978-3-319-99978-4_7
Andrea Zugarini, J. Morvan, S. Melacci, S. Knerr, M. Gori
{"title":"Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text","authors":"Andrea Zugarini, J. Morvan, S. Melacci, S. Knerr, M. Gori","doi":"10.1007/978-3-319-99978-4_7","DOIUrl":"https://doi.org/10.1007/978-3-319-99978-4_7","url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124671188","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
Effect of Equality Constraints to Unconstrained Large Margin Distribution Machines 等式约束对无约束大边际分配机的影响
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.1007/978-3-319-99978-4_3
S. Abe
{"title":"Effect of Equality Constraints to Unconstrained Large Margin Distribution Machines","authors":"S. Abe","doi":"10.1007/978-3-319-99978-4_3","DOIUrl":"https://doi.org/10.1007/978-3-319-99978-4_3","url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124681808","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
Pattern Recognition Pipeline for Neuroimaging Data 神经影像数据的模式识别管道
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.1007/978-3-319-99978-4_24
M. Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, E. Kondratyeva, Svetlana Sushchinskaya, I. Samotaeva, V. Gaskin, A. Bernstein
{"title":"Pattern Recognition Pipeline for Neuroimaging Data","authors":"M. Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, E. Kondratyeva, Svetlana Sushchinskaya, I. Samotaeva, V. Gaskin, A. Bernstein","doi":"10.1007/978-3-319-99978-4_24","DOIUrl":"https://doi.org/10.1007/978-3-319-99978-4_24","url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127686519","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: 15
F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data 用不平衡数据可视化分类器性能的F-Measure曲线
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.1007/978-3-319-99978-4_13
Roghayeh Soleymani, Eric Granger, G. Fumera
{"title":"F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data","authors":"Roghayeh Soleymani, Eric Granger, G. Fumera","doi":"10.1007/978-3-319-99978-4_13","DOIUrl":"https://doi.org/10.1007/978-3-319-99978-4_13","url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114539326","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
What's Wrong with Computer Vision? 计算机视觉出了什么问题?
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.1007/978-3-319-99978-4_1
M. Gori
{"title":"What's Wrong with Computer Vision?","authors":"M. Gori","doi":"10.1007/978-3-319-99978-4_1","DOIUrl":"https://doi.org/10.1007/978-3-319-99978-4_1","url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133867830","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: 3
Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation 基于音频的影响估计的级联有序分类和局部回归
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.1007/978-3-319-99978-4_21
Maxime Sazadaly, P. Pinchon, Arthur Fagot, L. Prevost, M. Maumy-Bertrand
{"title":"Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation","authors":"Maxime Sazadaly, P. Pinchon, Arthur Fagot, L. Prevost, M. Maumy-Bertrand","doi":"10.1007/978-3-319-99978-4_21","DOIUrl":"https://doi.org/10.1007/978-3-319-99978-4_21","url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115852172","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
Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps 利用特征响应图跟踪和检测对cnn的对抗性攻击
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.21256/zhaw-3863
Mohammadreza Amirian, F. Schwenker, Thilo Stadelmann
{"title":"Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps","authors":"Mohammadreza Amirian, F. Schwenker, Thilo Stadelmann","doi":"10.21256/zhaw-3863","DOIUrl":"https://doi.org/10.21256/zhaw-3863","url":null,"abstract":"The existence of adversarial attacks on convolutional neural networks (CNN) questions the fitness of such models for serious applications. The attacks manipulate an input image such that misclassification is evoked while still looking normal to a human observer—they are thus not easily detectable. In a different context, backpropagated activations of CNN hidden layers—“feature responses” to a given input—have been helpful to visualize for a human “debugger” what the CNN “looks at” while computing its output. In this work, we propose a novel detection method for adversarial examples to prevent attacks. We do so by tracking adversarial perturbations in feature responses, allowing for automatic detection using average local spatial entropy. The method does not alter the original network architecture and is fully human-interpretable. Experiments confirm the validity of our approach for state-of-the-art attacks on large-scale models trained on ImageNet.","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130257257","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: 12
Historical Handwritten Document Segmentation by Using a Weighted Loss 基于加权损失的历史手写文档分割
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.1007/978-3-319-99978-4_31
Samuele Capobianco, Leonardo Scommegna, S. Marinai
{"title":"Historical Handwritten Document Segmentation by Using a Weighted Loss","authors":"Samuele Capobianco, Leonardo Scommegna, S. Marinai","doi":"10.1007/978-3-319-99978-4_31","DOIUrl":"https://doi.org/10.1007/978-3-319-99978-4_31","url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130709474","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: 11
PHoG Features and Kullback-Leibler Divergence Based Ranking Method for Handwriting Recognition PHoG特征和基于Kullback-Leibler散度的手写识别排序方法
IAPR International Workshop on Artificial Neural Networks in Pattern Recognition Pub Date : 2018-09-19 DOI: 10.1007/978-3-319-99978-4_23
Taraggy M. Ghanim, M. Khalil, Hazem M. Abbas
{"title":"PHoG Features and Kullback-Leibler Divergence Based Ranking Method for Handwriting Recognition","authors":"Taraggy M. Ghanim, M. Khalil, Hazem M. Abbas","doi":"10.1007/978-3-319-99978-4_23","DOIUrl":"https://doi.org/10.1007/978-3-319-99978-4_23","url":null,"abstract":"","PeriodicalId":368838,"journal":{"name":"IAPR International Workshop on Artificial Neural Networks in Pattern Recognition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124091682","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: 9
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