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检索条件"主题词=Auto-Encoder"
784 条 记 录,以下是151-160 订阅
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CONTRASTIVE auto-encoder FOR PHONEME RECOGNITION
CONTRASTIVE AUTO-ENCODER FOR PHONEME RECOGNITION
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Zheng, Xin Wu, Zhiyong Meng, Helen Cai, Lianhong Tsinghua Univ Grad Sch Shenzhen Tsinghua CUHK Joint Res Ctr Media Sci Technol & S Shenzhen 518055 Peoples R China
Speech data typically contains task irrelevant information lying within features. Specifically, phonetic information, speaker characteristic information, emotional information and noise are always mixed together and t... 详细信息
来源: 评论
Variational auto-encoder Based Variability Encoding for Dysarthric Speech Recognition  22
Variational Auto-Encoder Based Variability Encoding for Dysa...
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Interspeech Conference
作者: Xie, Xurong Ruzi, Rukiye Liu, Xunying Wang, Lan Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China
Dysarthric speech recognition is a challenging task due to acoustic variability and limited amount of available data. Diverse conditions of dysarthric speakers account for the acoustic variability, which make the vari... 详细信息
来源: 评论
3D Shape and Texture Features Fusion using auto-encoder for Efficient Face Recognition  26
3D Shape and Texture Features Fusion using Auto-Encoder for ...
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26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA)
作者: Bahroun, Sahbi Abed, Rahma Zagrouba, Ezzeddine Univ Tunis ElManar Inst Super Informat Lab Limtic 2 Rue Abou Rayhane Bayrouni Ariana Tunisia
Face recognition is one of the most widely used biometrics for identifying people. However, face images suffer from several issues that could affect the achieved results, especially in a crowded environment. Such as f... 详细信息
来源: 评论
PATCH-WISE auto-encoder FOR VISUAL ANOMALY DETECTION  30
PATCH-WISE AUTO-ENCODER FOR VISUAL ANOMALY DETECTION
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30th IEEE International Conference on Image Processing (ICIP)
作者: Cui, Yajie Liu, Zhaoxiang Lian, Shiguo China Unicom Unicom Digital Technol Beijing 100013 Peoples R China
Anomaly detection without priors of the anomalies is challenging. In the field of unsupervised anomaly detection, traditional auto-encoder (AE) tends to fail based on the assumption that by training only on normal ima... 详细信息
来源: 评论
Improvement of Texture Clustering Performance in Complex-Valued SOM by Using Complex-Valued auto-encoder for Millimeter-Wave Coherent Imaging  24th
Improvement of Texture Clustering Performance in Complex-Val...
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24th International Conference on Neural Information Processing (ICONIP)
作者: Arima, Yuya Hirose, Akira Univ Tokyo Dept Elect Engn & Informat Syst Bunkyo Ku 7-3-1 Hongo Tokyo 1138656 Japan
Interference in millimeter-wave active radar imaging causes harmful effects such as amplitude fluctuation and phase distortion, resulting in deterioration in visualization quality in a radar system employing complex-v... 详细信息
来源: 评论
An auto-encoder for Learning Conversation Representation Using LSTM  22nd
An Auto-Encoder for Learning Conversation Representation Usi...
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22nd International Conference on Neural Information Processing (ICONIP)
作者: Zhou, Xiaoqiang Hu, Baotian Chen, Qingcai Wang, Xiaolong Harbin Inst Technol Shenzhen Grad Sch Intelligent Comp Res Ctr Shenzhen Peoples R China
In this paper, an auto-encoder is proposed to learn conversation representation. First, the long short term memory (LSTM) neural network is used to encode the sequence of sentences in a conversation. The interactive c... 详细信息
来源: 评论
Noise-Adaptive auto-encoder for Modulation Recognition of RF Signal
Noise-Adaptive Auto-Encoder for Modulation Recognition of RF...
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IEEE/MTT-S International Microwave Symposium (IMS)
作者: Woo, Jongseok Jung, Kuchul Mukhopadhyay, Saibal Georgia Inst Technol Atlanta GA 30332 USA
This paper presents an efficient Deep Neural Network (DNN) design optimized for the modulation classification of the received Radio Frequency (RF) signal. Considering that the transmitted signals are exposed to variou... 详细信息
来源: 评论
Regularized Stacked auto-encoder Based Pre-training for Generalization of Multi-layer Perceptron  1
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6th International Conference on the Theory and Practice of Natural Computing (TPNC)
作者: Dey, Prasenjit Ghosh, Abhijit Pal, Tandra Natl Inst Technol Dept Comp Sci & Engn Durgapur 713209 W Bengal India
Generalization capability of multi-layer perceptron (MLP) depends on the initialization of its weights. If the weights of an MLP are not initialized properly, it may fail to achieve good generalization. In this articl... 详细信息
来源: 评论
Pulmonary Nodules Segmentation Method Based on auto-encoder  10
Pulmonary Nodules Segmentation Method Based on Auto-encoder
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10th International Conference on Digital Image Processing (ICDIP)
作者: Zhang, Guodong Guo, Mao Gong, Zhaoxuan Bi, Jing Kim, Yoohwan Guo, Wei Shenyang Aerosp Univ Sch Comp Sci Shenyang 110136 Liaoning Peoples R China Chinese Acad Sci Shenyang Inst Comp Technol Shenyang 110168 Liaoning Peoples R China Univ Nevada Dept Comp Sci Las Vegas NV 89154 USA
In this paper, we proposed a semi-automatic pulmonary nodule segmentation algorithm, which is operated within a region of interest for each nodule. It mainly includes two parts: the unsupervised training of auto-encod... 详细信息
来源: 评论
Attention-Based auto-encoder Framework for Abnormal Driving Detection
Attention-Based Auto-Encoder Framework for Abnormal Driving ...
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: Liu, Jing Liu, Yang Wei, Donglai Ni, Wei Zeng, Xinhua Song, Liang Fudan Univ Acad Engn & Technol Shanghai Peoples R China Shanghai East Bund Res Inst NSAI Shanghai Peoples R China
With the popularity of smartphones, abnormal driving detection via smartphone sensors has been proposed in recent years. However, existing methods are insufficient in exploring feature extraction, so the practical val... 详细信息
来源: 评论