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检索条件"主题词=Variational autoencoder"
1532 条 记 录,以下是341-350 订阅
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A Semi-supervised Learning Based on variational autoencoder for Visual-Based Robot Localization  16th
A Semi-supervised Learning Based on Variational Autoencoder ...
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16th CCF Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW)
作者: Liang, Kaiyun He, Fazhi Zhu, Yuanyuan Gao, Xiaoxin Wuhan Univ Sch Comp Sci & Technol Wuhan Hubei Peoples R China
Robot localization, the task of determining the current pose of a robot, is a crucial problem of mobile robotic. Visual-based robot localization, which using only cameras as exteroceptive sensors, has become extremely... 详细信息
来源: 评论
BVAE: Behavior-aware variational autoencoder for Multi-Behavior Multi-Task Recommendation  23
BVAE: Behavior-aware Variational Autoencoder for Multi-Behav...
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17th ACM Conference on Recommender Systems (RecSys)
作者: Rao, Qianzhen Liu, Yang Pan, Weike Zhong, Ming Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China
A practical recommender system should be able to handle heterogeneous behavioral feedback as inputs and has multi-task outputs ability. Although the heterogeneous one-class collaborative filtering (HOCCF) and multi-ta... 详细信息
来源: 评论
PassRVAE: Improved Trawling Attacks via Recurrent variational autoencoder  24
PassRVAE: Improved Trawling Attacks via Recurrent Variationa...
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3rd International Conference on Cryptography, Network Security and Communication Technology (CNSCT)
作者: Xiao, Yujia Hong Kong Polytech Univ Dept Comp Kowloon Hong Kong Peoples R China Harbin Inst Technol Shenzhen Sch Comp Sci & Technol Shenzhen Peoples R China
The prevalence of offline password guessing attacks, also known as trawling, continues to challenge authentication systems. To quantify the threat posed by trawling, existing strategies leverage deep learning to model... 详细信息
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A WEIGHTED-VARIANCE variational autoencoder MODEL FOR SPEECH ENHANCEMENT  49
A WEIGHTED-VARIANCE VARIATIONAL AUTOENCODER MODEL FOR SPEECH...
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49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Goltnakani, Ali Sadeghi, Mostafa Alameda-Pineda, Xavier Serizel, Romain Univ Lorraine LORIA INRIA CNRS F-54000 Nancy France Inria Grenoble Grenoble France Univ Grenoble Alpes Grenoble France
We address speech enhancement based on variational autoencoders, which involves learning a speech prior distribution in the time-frequency (TF) domain. A zero-mean complex-valued Gaussian distribution is usually assum... 详细信息
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GraphVAE: Unveiling Dynamic Stock Relationships with variational autoencoder-based Factor Modeling  24
GraphVAE: Unveiling Dynamic Stock Relationships with Variati...
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33rd ACM International Conference on Information and Knowledge Management (CIKM)
作者: Jia, Yulong Li, Guanxing Zhao, Ganlong Lin, Xiangru Li, Guanbin Sun Yat Sen Univ Guangzhou Peoples R China Shanghai Long Life Quant Investment Co Ltd Shenzhen Peoples R China Univ Hong Kong Hong Kong Peoples R China
Factor models, originating in finance for asset pricing, are fundamental tools in quantitative investment. Recently, there has been a trend towards adopting more flexible machine learning approaches instead of previou... 详细信息
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Hierarchical Diffusion Teaching-Learning-Based Optimizer with variational autoencoder for Mobile Edge Computing System Optimization  15th
Hierarchical Diffusion Teaching-Learning-Based Optimizer wit...
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15th International Conference on Advances in Swarm Intelligence (ICSI)
作者: Xu, Dian Zhou, MengChu Macau Univ Sci & Technol Inst Syst Engn Taipa 999078 Macao Peoples R China Zhejiang Gongshang Univ Sch Informat & Elect Engn Hangzhou 310018 Peoples R China
Evolutionary computation for addressing high-dimensional expensive problems (HEPs) characterized by both high-dimensional decision variables and resource-intensive evaluations is an important area. In this study, we i... 详细信息
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Unsupervised Flight Fault Propagation Analysis Using a variational autoencoder  13
Unsupervised Flight Fault Propagation Analysis Using a Varia...
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IEEE 13th International Conference on Pattern Recognition Systems (ICPRS)
作者: Mladenov, Emanuil Martinez-Garcia, Miguel Zhang, Yu Khan, Shaheryar Patankar, Faizan Univ Loughborough Dept Aeronaut & Automot Engn Loughborough Leics England Amygda Labs Ltd Derby England
Assessing fault propagation is essential for flight safety and for optimal maintenance scheduling of passenger aircrafts. This paper studies such application by way of latent space representation with variational auto... 详细信息
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CosmoVAE: variational autoencoder for CMB Image Inpainting
CosmoVAE: Variational Autoencoder for CMB Image Inpainting
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International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Yi, Kai Guo, Yi Fan, Yanan Hamann, Jan Wang, Yu Guang Univ New South Wales Sch Math & Stat Sydney NSW Australia Univ New South Wales Sch Phys Sydney NSW Australia
Cosmic microwave background radiation (CMB) is critical to the understanding of the early universe and precise estimation of cosmological constants. Due to the contamination of thermal dust noise in the galaxy, the CM... 详细信息
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DvaDRP: a dual variational autoencoder based on big data for drug response prediction  24
DvaDRP: a dual variational autoencoder based on big data for...
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6th International Conference on Big-data Service and Intelligent Computation (BDSIC)
作者: Liao, Xin Yu, Bin Qingdao Univ Sci & Technol Sch Data Sci Qingdao 266061 Peoples R China
Precision medicine represents the direction of cancer treatment in the era of big data. Developing effective drug response prediction (DRP) models is crucial for achieving precision medicine. Although some DRP models ... 详细信息
来源: 评论
Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic variational autoencoder  6
Out of Distribution Reasoning by Weakly-Supervised Disentang...
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6th International Conference on System Reliability and Safety (ICSRS)
作者: Rahiminasab, Zahra Yuhas, Michael Easwaran, Arvind Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore Nanyang Technol Univ Energy Res Inst Singapore Singapore
Out-of-distribution (OOD) detection, i.e., finding test samples derived from a different distribution than the training set, as well as reasoning about such samples (OOD reasoning), are necessary to ensure the safety ... 详细信息
来源: 评论