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检索条件"任意字段=Conference on Statistical and Stochastic Methods in Image Processing II"
275 条 记 录,以下是1-10 订阅
Localized Binarization of Document images Based on Suprathreshold stochastic Resonance  4
Localized Binarization of Document Images Based on Suprathre...
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4th International conference on Electronic Information Engineering and Computer Technology, EIECT 2024
作者: Yan, Xiaoyue Mu, Dazhong School of Information Engineering Beijing Institute Of Graphic Communication Beijing China
When processing text images with traditional binarization methods, the image background noise often causes the results to become blurred or leads to the loss of edge details. To solve this problem, this paper proposes... 详细信息
来源: 评论
Texture classification using RGGD statistical model of CNN feature maps encoding  32
Texture classification using RGGD statistical model of CNN f...
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32nd European Signal processing conference (EUSIPCO)
作者: Abbad, Zakariae El Maliani, Ahmed Drissi El Hassouni, Mohammed Abbassi, Mohamed Tahar Kadaoui Bombrun, Lionel Berthoumieu, Yannick Mohammed Univ Rabat ENSIAS Rabat Morocco Mohammed Univ Rabat FS Rabat Morocco Mohammed Univ Rabat FLSH Rabat Morocco Univ Sidi Mohamed Ben Abdellah LMSA FSDM Fes Morocco Univ Bordeaux CNRS Bordeaux INP IMSUMR 5218 Bordeaux France Bordeaux Sci Agro F-33175 Gradignan France
The symmetric positive definite (SPD) matrices play an important role in diverse domains, including computer vision and signal processing, due to their unique ability to capture the intrinsic structure of nonlinear da... 详细信息
来源: 评论
DEEP SUB-image SAMPLING BASED DEFENSE AGAINST SPATIAL-DOMAIN ADVERSARIAL STEGANOGRAPHY  49
DEEP SUB-IMAGE SAMPLING BASED DEFENSE AGAINST SPATIAL-DOMAIN...
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49th IEEE International conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Huang, Xinyu Cao, Yuwen Ohtsuki, Tomoaki Northwestern Polytech Univ Sch Cybersecur Xian Peoples R China Donghua Univ Coll Informat Sci & Technol Shanghai Peoples R China Keio Univ Dept Informat & Comp Sci Tokyo Japan
Deep steganalyzer combined with neural networks has achieved great success in image classification over recent years. However, it suffers from the following persistent challenges: i) Deep steganalyzer is extremely vul...
来源: 评论
The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators  3rd
The Lattice Overparametrization Paradigm for the Machine Lea...
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3rd International Joint conference on Discrete Geometry and Mathematical Morphology (DGM)
作者: Marcondes, Diego Barrera, Junior Univ Sao Paulo Inst Math & Stat Dept Comp Sci Sao Paulo Brazil Texas A&M Univ Dept Elect & Comp Engn College Stn TX USA
The machine learning of lattice operators has three possible bottlenecks. From a statistical standpoint, it is necessary to design a constrained class of operators based on prior information with low bias, and low com... 详细信息
来源: 评论
image Segmentation and Pre-processing for Lung Cancer Detection in Humans Based on Deep-Learning
Image Segmentation and Pre-Processing for Lung Cancer Detect...
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2023 International conference on Circuit Power and Computing Technologies, ICCPCT 2023
作者: Singh, Drishti Singh, Jaspreet School of Engineering and Sciences GD Goenka University Gurugram India
When it comes to cancer and its linked disorders, lung cancer is consistently ranked among the top causes of mortality. The primary method for making the diagnosis is to do a scan analysis of the patient's lungs. ... 详细信息
来源: 评论
A Robust stochastic image Segmentation Model for Medical images  19
A Robust Stochastic Image Segmentation Model for Medical Ima...
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19th IEEE International Multi-conference on Systems, Signals and Devices, SSD 2022
作者: Messaouda, Larbi Abdelghani, Rouini Larbi, Samira University of Djelfa Department of Science and Technology Djelfa Algeria University of Djelfa Applied Automation and Industrial Diagnostic Laboratory Department of Science and Technology Djelfa Algeria University of Laghouat Department of Science and Technology Laghouat Algeria
image segmentation is one of the key problems in image processing. Among the different models and approaches developed, some of the commonly used statistical methods are based on the intensity homogeneity. In this pap... 详细信息
来源: 评论
Comprehensive Electric load forecasting using ensemble machine learning methods  29
Comprehensive Electric load forecasting using ensemble machi...
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29th International conference on Systems, Signals and image processing (IWSSIP)
作者: Bhatnagar, Mansi Dwivedi, Vivek Singh, Divyanshu Rozinaj, Gregor Slovak Univ Technol FEI Dept Multimedia & Telecommun Bratislava Slovakia Blue Bricks Pvt Ltd AI ML Developer Lucknow India
The accuracy of electric load forecasting is crucial when working on applications in power grid decision-making and operation. Due to the non-linear and stochastic behaviour of customers, the electric load profile is ... 详细信息
来源: 评论
Localized Binarization of Document images Based on Suprathreshold stochastic Resonance
Localized Binarization of Document Images Based on Suprathre...
收藏 引用
Electronic Information Engineering and Computer Technology (EIECT), International conference on
作者: Xiaoyue Yan Dazhong Mu School of Information Engineering Beijing Institute Of Graphic Communication Beijing China
When processing text images with traditional binarization methods, the image background noise often causes the results to become blurred or leads to the loss of edge details. To solve this problem, this paper proposes... 详细信息
来源: 评论
Deep Sub-image Sampling Based Defense Against Spatial-Domain Adversarial Steganography
Deep Sub-Image Sampling Based Defense Against Spatial-Domain...
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Acoustics, Speech, and Signal processing Workshops (ICASSPW), IEEE International conference on
作者: Xinyu Huang Yuwen Cao Tomoaki Ohtsuki School of Cybersecurity Northwestern Polytechnical University Xi’an China College of Information Science and Technology Donghua University China Department of Information and Computer Science Keio University Japan
Deep steganalyzer combined with neural networks has achieved great success in image classification over recent years. However, it suffers from the following persistent challenges: i) Deep steganalyzer is extremely vul... 详细信息
来源: 评论
Last iterate convergence of SGD for Least-Squares in the Interpolation regime  35
Last iterate convergence of SGD for Least-Squares in the Int...
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35th Annual conference on Neural Information processing Systems (NeurIPS)
作者: Varre, Aditya Pillaud-Vivien, Loucas Flammarion, Nicolas Ecole Polytech Fed Lausanne Lausanne Switzerland
Motivated by the recent successes of neural networks that have the ability to fit the data perfectly and generalize well, we study the noiseless model in the fundamental least-squares setup. We assume that an optimum ... 详细信息
来源: 评论