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检索条件"主题词=Variational autoencoder"
1532 条 记 录,以下是1131-1140 订阅
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Diversity Regularized autoencoders for Text Generation  20
Diversity Regularized Autoencoders for Text Generation
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35th Annual ACM Symposium on Applied Computing (SAC)
作者: Ko, Hyeseon Lee, Junhyuk Kim, Jinhong Lee, Jongwuk Shim, Hyunjung Sungkyunkwan Univ Seoul South Korea Yonsei Univ Seoul South Korea
In this paper, we propose a simple yet powerful text generation model, called diversity regularized autoencoders (DRAE). The key novelty of the proposed model lies in its ability to handle various sentence modificatio... 详细信息
来源: 评论
AN autoencoder-BASED APPROACH FOR RECOGNIZING NULL CLASS IN ACTIVITIES OF DAILY LIVING IN-THE-WILD VIA WEARABLE MOTION SENSORS  44
AN AUTOENCODER-BASED APPROACH FOR RECOGNIZING NULL CLASS IN ...
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44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Akbari, Ali Jafari, Roozbeh Texas A&M Univ Dept Biomed Engn College Stn TX 77843 USA Texas A&M Univ Dept Comp Sci & Engn College Stn TX 77843 USA Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA
Recognizing activities of daily living (ADL) in-the-wild, while users follow their daily routine, is challenging due to the presence of various activities that do not belong to the set of desired activities in which t... 详细信息
来源: 评论
Perioperative Predictions with Interpretable Latent Representation  22
Perioperative Predictions with Interpretable Latent Represen...
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28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KKD)
作者: Xue, Bing Jiao, York Kannampallil, Thomas Fritz, Bradley King, Christopher Abraham, Joanna Avidan, Michael Lu, Chenyang Washington Univ McKelvey Sch Engn St Louis MO 63110 USA Washington Univ Sch Med St Louis MO 63110 USA
Given the risks and cost of hospitalization, there has been significant interest in exploiting machine learning models to improve perioperative care. However, due to the high dimensionality and noisiness of perioperat... 详细信息
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Manifold-based Test Generation for Image Classifiers  2
Manifold-based Test Generation for Image Classifiers
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IEEE International Conference on Artificial Intelligence Testing (AITest)
作者: Byun, Taejoon Vijayakumar, Abhishek Rayadurgam, Sanjai Cofer, Darren Univ Minnesota Comp Sci & Eng Minneapolis MN 55455 USA Carnegie Mellon Univ Sch Comp Sci Pittsburgh PA 15213 USA Collins Aerosp Adv Technol Ctr Bloomington MN USA
Neural networks used for image classification tasks in critical applications must be tested with sufficient realistic data to assure their correctness. This raises two challenges: first, an adequate subset of the data... 详细信息
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JOINT DATA-DRIVEN ANALYSIS OF VISUAL-ODOMETRIC ANOMALY SIGNALS IN GENERATIVE AI-BASED AGENTS  49
JOINT DATA-DRIVEN ANALYSIS OF VISUAL-ODOMETRIC ANOMALY SIGNA...
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49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Slavic, Giulia Bracco, Mattia Marcenaro, Lucio Gomez, David Martin Regazzoni, Carlo Zontone, Pamela Univ Genoa Genoa Italy Univ Carlos III Madrid Getafe Spain
This paper presents a data-driven model that, by exploring the correlation between the data coming from two sensors (GPS and camera), allows us to explain the odometry anomalies by analyzing video data. Our approach u... 详细信息
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Image-to-Video Translation Using a VAE-GAN with Refinement Network  18th
Image-to-Video Translation Using a VAE-GAN with Refinement N...
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18th International Conference on Intelligent Computing (ICIC)
作者: Wang, Shengli Xieshi, Mulin Zhou, Zhangpeng Zhang, Xiang Liu, Xujie Tang, Zeyi Xiahou, Jianbing Lin, Pingyuan Xu, Xuexin Dai, Yuxing Maintenance Co State Grid Power Co Gansu Prov Lanzhou 730000 Gansu Peoples R China State Grid Infotelecom Great Power Sci & Technol Fuzhou 350000 Peoples R China Xiamen Univ Sch Informat Xiamen 361005 Peoples R China
With the development of deep learning technology, various techniques for image processing have emerged in the field of computer vision in recent years, and have excellent performance in a variety of application scenar... 详细信息
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Motor Imagery EEG Signal Recognition Based on ACVAE and CNN-LSTM
Motor Imagery EEG Signal Recognition Based on ACVAE and CNN-...
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International Conference on Electronic Engineering and Information Systems (EEISS)
作者: Hu, Cunlin Ye, Ye Li, Jian Wang, Hongliang Zhou, Tao Xie, Nenggang Anhui Univ Technol Coll Mech Engn Maanshan Peoples R China Maanshan Peoples Hosp Maanshan Peoples R China Anhui Univ Technol Coll Management Sci & Engn Maanshan Peoples R China
Hybrid neural networks are able to capture the time-dependency of electroencephalography (EEG) signals, and can therefore effectively perform pattern recognition of motor imagery EEG signals. However, a sufficiently l... 详细信息
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3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks  21st
3D Fetal Skull Reconstruction from 2DUS via Deep Conditional...
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21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
作者: Cerrolaza, Juan J. Li, Yuanwei Biffi, Carlo Gomez, Alberto Sinclair, Matthew Matthew, Jacqueline Knight, Caronline Kainz, Bernhard Rueckert, Daniel Imperial Coll London Biomed Image Anal Grp London England Kings Coll London Div Imaging Sci & Biomed Engn London England
2D ultrasound (US) is the primary imaging modality in antenatal healthcare. Despite the limitations of traditional 2D biometrics to characterize the true 3D anatomy of the fetus, the adoption of 3DUS is still very lim... 详细信息
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Detecting Anomalies with LatentOut: Novel Scores, Architectures, and Settings  26th
Detecting Anomalies with LatentOut: Novel Scores, Architectu...
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26th International Symposium on Methodologies for Intelligent Systems (ISMIS)
作者: Angiulli, Fabrizio Fassetti, Fabio Ferragina, Luca Univ Calabria DIMES I-87036 Arcavacata Di Rende CS Italy
LatentOut is a recently introduced algorithm for unsupervised anomaly detection which enhances latent space-based neural methods, namely (variational) autoencoders, GANomaly and ANOGan architectures. The main idea beh... 详细信息
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Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation  23
Assisting Clinical Decisions for Scarcely Available Treatmen...
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29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
作者: Xue, Bing Said, Ahmed Sameh Xu, Ziqi Liu, Hanyang Shah, Neel Yang, Hanqing Payne, Philip Lu, Chenyang Washington Univ McKelvey Sch Engn St Louis MO 63110 USA Washington Univ Sch Med St Louis MO USA
Extracorporeal membrane oxygenation (ECMO) is an essential life-supporting modality for COVID-19 patients who are refractory to conventional therapies. However, the proper treatment decision has been the subject of si... 详细信息
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