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检索条件"主题词=Encoder-decoder"
894 条 记 录,以下是141-150 订阅
排序:
Predicting and Explaining Hearing Aid Usage Using encoder-decoder with Attention Mechanism and SHAP  16
Predicting and Explaining Hearing Aid Usage Using Encoder-De...
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16th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS)
作者: Su, Qiqi Iliadou, Eleftheria Univ London Dept Comp Sci City London England Natl & Kapodistrian Univ Dept Otorhinolaryngol 1 Athens Med Sch Athens Greece
Understanding the factors that contribute to optimal hearing aid fitting and hearing aid user experiences is crucial in order to increase the satisfaction and quality of life of hearing loss patients, as well as reduc... 详细信息
来源: 评论
Micro-climate Prediction - Multi Scale encoder-decoder based Deep Learning Framework  21
Micro-climate Prediction - Multi Scale Encoder-decoder based...
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27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
作者: Kumar, Peeyush Chandra, Ranveer Bansal, Chetan Kalyanaraman, Shivkumar Ganu, Tanuja Grant, Michael Microsoft Res Redmond WA 98052 USA Microsoft Bengaluru India Microsoft Res Bengaluru India Univ Washington Seattle WA 98195 USA Climate Corp San Francisco CA USA
This paper presents a deep learning approach for a versatile Microclimate prediction framework (DeepMC). Micro climate predictions are of critical importance across various applications, such as Agriculture, Forestry,... 详细信息
来源: 评论
HYPERSPECTRAL IMAGE CLASSIFICATION VIA MULTI-SCALE encoder-decoder NETWORK
HYPERSPECTRAL IMAGE CLASSIFICATION VIA MULTI-SCALE ENCODER-D...
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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Ma, Jingjing Wu, Linlin Tang, Xu Zhang, Xiangrong Zhu, Cheng Ma, Junyong Jiao, Licheng Xidian Univ Sch Elect Engn Sch Artificial Intelligence Xian 710071 Shaanxi Peoples R China Sci & Technol Electroopt Control Lab Luoyang 471023 Peoples R China Xidian Univ Sch Artificial Intelligence Xian Peoples R China Xidian Univ Sch Elect Engn Xian Peoples R China
Hyperspectral image (HSI) classification is an important task in the remote sensing community. In general, many hyperspectral classification methods are based on pixel patch, which leads to information redundancy. In ... 详细信息
来源: 评论
3D Multi-Branch encoder-decoder Networks with Attentional Feature Fusion for Pulmonary Nodule Detection in CT Scans
3D Multi-Branch Encoder-Decoder Networks with Attentional Fe...
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International Joint Conference on Neural Networks (IJCNN)
作者: Zhang, Chenjiao Wang, Lulu Wu, Xing He, Zhongshi Chongqing Univ Coll Comp Sci Chongqing Peoples R China
Pulmonary nodule detection in low-dose computed tomography (CT) images is essential for early screening and treatment of lung cancer. Previous related researches based on deep convolutional neural networks generally r... 详细信息
来源: 评论
A GRU-based encoder-decoder Approach with Attention for Online Handwritten Mathematical Expression Recognition  14
A GRU-based Encoder-Decoder Approach with Attention for Onli...
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14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
作者: Zhang, Jianshu Du, Jun Dai, Lirong Univ Sci & Technol China Natl Engn Lab Speech & Language Informat Proc Hefei Anhui Peoples R China
In this study, we present a novel end-to-end approach based on the encoder-decoder framework with the attention mechanism for online handwritten mathematical expression recognition (OHMER). First, the input two-dimens... 详细信息
来源: 评论
Colorectal Segmentation using Multiple encoder-decoder Network in Colonoscopy Images  1
Colorectal Segmentation using Multiple Encoder-Decoder Netwo...
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1st IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)
作者: Ngoc-Quang Nguyen Lee, Sang-Woong Gachon Univ Pattern Recognit & Machine Learning Lab Seongnam South Korea
Colorectal cancer is the third most common cancer which causes of cancer-related deaths. Therefore, early diagnosis of polyps by colonoscopy could result in successful treatment. Diagnosis of polyps in colonoscopy vid... 详细信息
来源: 评论
A Decomposition-based encoder-decoder Framework for Multi-step Prediction of Burn-Through Point in Sintering Process  6
A Decomposition-based Encoder-Decoder Framework for Multi-st...
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IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)
作者: Xie, Yuhan He, Bocun Zhang, Xinmin Song, Zhihuan Zhejiang Univ Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou Peoples R China
Sintering process is a critical step in the ironmaking process. Burn-through point (BTP), as a key performance index of sintering ore, has a great influence on the quality of the sintering product. The existing predic... 详细信息
来源: 评论
AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CNN encoder-decoder AND STACKED HOURGLASS  26
AUTODEPTH: SINGLE IMAGE DEPTH MAP ESTIMATION VIA RESIDUAL CN...
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26th IEEE International Conference on Image Processing (ICIP)
作者: Kumari, Seema Jha, Ranjeet Ranjhan Bhavsar, Arnav Nigam, Aditya Indian Inst Technol Mandi Sch Comp & Elect Engn Mandi Himachal Prades India
We address the task of estimating depth from a single intensity image via a novel convolutional neural network (CNN) encoder-decoder architecture, which learns the depth information using example pairs of color images... 详细信息
来源: 评论
Attention and encoder-decoder based models for transforming articulatory movements at different speaking rates  21
Attention and Encoder-Decoder based models for transforming ...
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Interspeech Conference
作者: Singh, Abhayjeet Illa, Aravind Ghosh, Prasanta Kumar Indian Inst Sci IISc Elect Engn Bangalore 560012 Karnataka India
While speaking at different rates, articulators (like tongue, lips) tend to move differently and the enunciations are also of different durations. In the past, affine transformation and DNN have been used to transform... 详细信息
来源: 评论
encoder-decoder Architecture for 3D Seismic Inversion
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SENSORS 2023年 第1期23卷 61页
作者: Gelboim, Maayan Adler, Amir Sun, Yen Araya-Polo, Mauricio Braude Coll Engn Elect Engn Dept IL-2161002 Karmiel Israel TotalEnergies EP R&T Houston TX 77002 USA
Inverting seismic data to build 3D geological structures is a challenging task due to the overwhelming amount of acquired seismic data, and the very-high computational load due to iterative numerical solutions of the ... 详细信息
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