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检索条件"任意字段=IEEE Symposium on Computational Intelligence in Image and Signal Processing"
2941 条 记 录,以下是611-620 订阅
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CMCL: Cross-Modal Compressive Learning for Resource-Constrained Intelligent IoT Systems
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ieee INTERNET OF THINGS JOURNAL 2024年 第15期11卷 25534-25542页
作者: Chen, Bin Tang, Dong Huang, Yujun An, Baoyi Wang, Yaowei Wang, Xuan Harbin Inst Technol Shenzhen Sch Comp Sci & Technol Shenzhen 518055 Guangdong Peoples R China Guangdong Prov Key Lab Novel Secur Intelligence Te Shenzhen Peoples R China Peng Cheng Lab Res Ctr Artificial Intelligence Shenzhen 518055 Guangdong Peoples R China Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Shenzhen 518055 Guangdong Peoples R China Huawei Technol Co Ltd Network Technol Lab Shenzhen 518055 Peoples R China
Compressive learning (CL) has proven to be highly successful in executing joint signal sampling and inference for intricate vision tasks through resource-limited Internet of Things (IoT) devices. Recent studies have t... 详细信息
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Framework for Automatic signal Classification Techniques (FACT) for Software Defined Radios
Framework for Automatic Signal Classification Techniques (FA...
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ieee symposium on computational intelligence for Security and Defense Applications (CISDA)
作者: Jagannath, Jithin Saarinen, Hanne M. Drozd, Andrew L. ANDRO Computat Solut LLC ANDRO Adv Appl Technol Rome NY USA
The objective of this work is to design and implement a novel framework for automatic signal classification techniques (FACT) for software defined radios (SDR) capable of classifying multiple signals simultaneously. T... 详细信息
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FS-NET: FILTER SELECTION NETWORK FOR HYPERSPECTRAL RECONSTRUCTION
FS-NET: FILTER SELECTION NETWORK FOR HYPERSPECTRAL RECONSTRU...
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ieee International Conference on image processing (ICIP)
作者: Yang, Liutao Li, Zhongnian Pei, Zongxiang Zhang, Daoqiang Nanjing Univ Aeronaut & Astronaut MIIT Key Lab Pattern Anal & Machine Intelligence Nanjing Peoples R China
Optimizing spectral filters for hyperspectral reconstruction has received increasing attentions recently. However, current filter selection methods suffer from extremely high computational complexity due to exhaustive... 详细信息
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IMPATIENT MRI: ILLINOIS MASSIVELY PARALLEL ACCELERATION TOOLKIT FOR image RECONSTRUCTION WITH ENHANCED THROUGHPUT IN MRI
IMPATIENT MRI: ILLINOIS MASSIVELY PARALLEL ACCELERATION TOOL...
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8th ieee International symposium on Biomedical Imaging (ISBI) - From Nano to Macro
作者: Wu, Xiao-Long Gai, Jiading Lam, Fan Fu, Maojing Haldar, Justin P. Zhuo, Yue Liang, Zhi-Pei Hwu, Wen-Mei Sutton, Bradley P. Univ Illinois Dept Elect & Comp Engn 1406 W Green St Urbana IL 61801 USA Univ Illinois Beckman Inst Urbana IL 61801 USA Univ Illinois Dept Bioengn Urbana IL 61801 USA
Much progress has been made in the design of efficient acquisition trajectories for high spatial and temporal resolution in magnetic resonance imaging (MRI). Additionally, significant developments in image reconstruct... 详细信息
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Unsupervised Hyperspectral image Classification: Spatial and Spectral Feature Fusion with Masked Autoencoders  20
Unsupervised Hyperspectral Image Classification: Spatial and...
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20th CSI International symposium on Artificial intelligence and signal processing, AISP 2024
作者: Mirsharji, Seyed Ali Ghassemian, Hassan Tarbiat Modares University Image Processing and Information Analysis Lab. Faculty of Electrical and Computer Engineering Tehran Iran
In this study, we present an innovative unsupervised hyperspectral image classification method using a dual-branch architecture that merges spatial and spectral feature extraction. Our unique approach employs masked a... 详细信息
来源: 评论
Selection Method of Optimum Wavelet Bases for image Signature
Selection Method of Optimum Wavelet Bases for Image Signatur...
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ieee 10th International Conference on signal processing
作者: Wang, Xiaofeng Dou, Chunni Tian, Lihua Xian Univ Technol Sch Sci Xian 710048 Shaanxi Peoples R China Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China
The properties of wavelet bases have greatly influence on algorithm performances when wavelet functions are used to construct image signature. Characteristics of image signature, such as robustness, tamper sensitivity... 详细信息
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Detecting Pixel-Value Differencing Steganography Using Levenberg-Marquardt Neural Network
Detecting Pixel-Value Differencing Steganography Using Leven...
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ieee symposium on computational intelligence and Data Mining (CIDM)
作者: El-Alfy, El-Sayed M. King Fahd Univ Petr & Minerals Coll Comp Sci & Engn Dhahran 31261 Saudi Arabia
With the wide use of steganographic techniques, several security challenges emerge, e. g. criminals and network intruders can hide any information they want into legitimate multimedia data and exchange it over the Int... 详细信息
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A discriminative fusion framework for skin detection
A discriminative fusion framework for skin detection
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16th CSI International symposium on Artificial intelligence and signal processing, AISP 2012
作者: Ahmadi, Ehsan Garmsirian, Fahimeh Azimifar, Zohreh School of Electrical and Computer Engineering Shiraz University Shiraz Iran
Skin detection is one of the preprocessing steps of machine vision applications. In this paper, a discriminative fusion framework is proposed for skin/non-skin classification of image pixels. The method utilizes condi... 详细信息
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Customized EfficientNet for Histopathology image Representation
Customized EfficientNet for Histopathology Image Representat...
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ieee symposium Series on computational intelligence (ieee SSCI)
作者: Mazaheri, Pooria Bidgoli, Azam Asilian Rahnamayan, Shahryar Dehkharghanian, Taher Tizhoosh, Hamid R.
In recent years, and amplified by the COVID-19 pandemic, the digitization of pathology has gained a considerable attention. Digital pathology provides crucial advantages compared to conventional light microscopy, incl... 详细信息
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computational Imaging and Artificial intelligence: The Next Revolution of Mobile Vision
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PROCEEDINGS OF THE ieee 2023年 第12期111卷 1607-1639页
作者: Suo, Jinli Zhang, Weihang Gong, Jin Yuan, Xin Brady, David J. Dai, Qionghai Tsinghua Univ Dept Automat Beijing 100084 Peoples R China Tsinghua Univ Inst Brain & Cognit Sci Beijing 100084 Peoples R China Shanghai Artificial Intelligence Lab Shanghai 200232 Peoples R China Westlake Univ Res Ctr Ind Future Hangzhou 310030 Zhejiang Peoples R China Westlake Univ Sch Engn Hangzhou 310030 Zhejiang Peoples R China Univ Arizona Wyant Coll Opt Sci Tucson AZ 85721 USA
signal capture is at the forefront of perceiving and understanding the environment;thus, imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial intelligence (AI) has shown great pot... 详细信息
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