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检索条件"主题词=autoencoder"
4244 条 记 录,以下是4121-4130 订阅
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INCLUSION OF MANNER OF ARTICULATION TO ACHIEVE IMPROVED PHONEME CLASSIFICATION ACCURACY FOR BENGALI CONTINUOUS SPEECH  20
INCLUSION OF MANNER OF ARTICULATION TO ACHIEVE IMPROVED PHON...
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20th Conference of the Oriental-Chapter-of-the-International-Coordinating-Committee-on-Speech-Databases-and-Speech-I/O-Systems-and-Assessment (O-COCOSDA)
作者: Bhowmik, Tanmay Mandal, Shyamal Kumar Das Univ Petr & Energy Studies SOCSE Dehra Dun Uttar Pradesh India IIT Kharagpur CET Kharagpur W Bengal India
In this experiment, a phoneme classification model has been developed using a Deep Neural Network based framework. The experiment is conducted in two phases. In the first phase, phoneme classification task has been pe... 详细信息
来源: 评论
NEURAL NETWORK HYPERSPECTRAL UNMIXING WITH SPECTRAL INFORMATION DIVERGENCE OBJECTIVE  37
NEURAL NETWORK HYPERSPECTRAL UNMIXING WITH SPECTRAL INFORMAT...
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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Palsson, Frosti Sigurdsson, Jakob Sveinsson, Johannes R. Ulfarsson, Magnus O. Univ Iceland Fac Elect & Comp Engn Hjardarhagi 2-6 IS-107 Reykjavik Iceland
Hyperspectral unmixing is a challenging inverse problem that involves determining the fractional abundances of the representive material (endmembers) in each pixel. In this paper, we develop a neural network autoencod... 详细信息
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Using deep networks for fraud detection in the credit card transactions  4
Using deep networks for fraud detection in the credit card t...
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IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI)
作者: Kazemi, Zahra Zarrabi, Houman Islamic Azad Univ Sci & Res Tehran Iran Iran ICT Res Ctr Sci & Res Tehran Iran
Deep learning is a very noteworthy technic that is take into consideration in the several fields. One of the most attractive subjects that need more attention in the prediction accuracy is fraud detection. As the deep... 详细信息
来源: 评论
MagNet: a Two-Pronged Defense against Adversarial Examples  17
MagNet: a Two-Pronged Defense against Adversarial Examples
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24th ACM-SIGSAC Conference on Computer and Communications Security (ACM CCS)
作者: Meng, Dongyu Chen, Hao ShanghaiTech Univ Shanghai Peoples R China Univ Calif Davis Davis CA 95616 USA
Deep learning has shown impressive performance on hard perceptual problems. However, researchers found deep learning systems to be vulnerable to small, specially crafted perturbations that are imperceptible to humans.... 详细信息
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Predicting Latent Structured Intents from Shopping Queries  17
Predicting Latent Structured Intents from Shopping Queries
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26th International Conference on World Wide Web (WWW)
作者: Wu, Chao-Yuan Ahmed, Amr Kumar, Gowtham Ramani Datta, Ritendra UT Austin Comp Sci Austin TX 78712 USA Google Mountain View CA USA
In online shopping, users usually express their intent through search queries. However, these queries are often ambiguous. For example, it is more likely (and easier) for users to write a query like "high-end bik... 详细信息
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Unsupervised Feature Learning for EEG-based Emotion Recognition
Unsupervised Feature Learning for EEG-based Emotion Recognit...
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International Conference on Cyberworlds (CW)
作者: Lan, Zirui Sourina, Olga Wang, Lipo Scherer, Reinhold Mueller-Putz, Gernot Nanyang Technol Univ Fraunhofer Singapore Singapore Singapore Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore Graz Univ Technol Inst Neural Engn Graz Austria
Spectral band power features are one of the most widely used features in the studies of electroencephalogram (EEG)-based emotion recognition. The power spectral density of EEG signals is partitioned into different ban... 详细信息
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Representation Learning with Pair-wise Constraints for Collaborative Ranking  17
Representation Learning with Pair-wise Constraints for Colla...
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10th ACM International Conference on Web Search and Data Mining (WSDM)
作者: Zhuang, Fuzhen Luo, Dan Yuan, Nicholas Jing Xie, Xing He, Qing Chinese Acad Sci ICT Key Lab Intelligent Informat Proc Beijing Peoples R China Microsoft Res 5 Danling St Beijing Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China
Last decades have witnessed a vast amount of interest and research in recommendation systems. Collaborative filtering which uses the known preferences of a group of users to make recommendations or predictions of the ... 详细信息
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Spatiotemporal Modeling and Prediction in Cellular Networks: A Big Data Enabled Deep Learning Approach
Spatiotemporal Modeling and Prediction in Cellular Networks:...
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IEEE Conference on Computer Communications (IEEE INFOCOM)
作者: Wang, Jing Tang, Jian Xu, Zhiyuan Wang, Yanzhi Xue, Guoliang Zhang, Xing Yang, Dejun Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA Arizona State Univ Ira A Fulton Sch Engn Tempe AZ 85287 USA BUPT Key Lab Universal Wireless Commun Beijing Peoples R China Beijing Univ Technol BJUT Beijing Adv Innovat Ctr Future Internet Technol Beijing Peoples R China Colorado Sch Mines Dept Elect Engn & Comp Sci Golden CO 80401 USA
In this paper, we propose to leverage the emerging deep learning techniques for spatiotemporal modeling and prediction in cellular networks, based on big system data. First, we perform a preliminary analysis for a big... 详细信息
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Speech Restoration Based on Deep Learning autoencoder with Layer-Wised Pretraining
Speech Restoration Based on Deep Learning Autoencoder with L...
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13th Annual Conference of the International-Speech-Communication-Association
作者: Lu, Xugang Matsuda, Shigeki Hori, Chiori Kashioka, Hideki Natl Inst Informat & Commun Technol Tokyo Japan
Neural network can be used to "remember" speech patterns by encoding speech statistical regularity in network parameters. Clean speech can be "recalled" when noisy speech is input to the network. A... 详细信息
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Software Lifecycle Management Unsupervised Anomaly Detection
Software Lifecycle Management Unsupervised Anomaly Detection
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作者: Ludwig Friborg Victor Christoffersson Chalmers Tekniska Hogskola
学位级别:硕士
The purpose of this thesis is to evaluate if unsupervised anomaly detection, the task of finding anomalies in unlabelled data, can be used as a supportive tool for software life cycle management in finding errors whic... 详细信息
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