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检索条件"主题词=Baum-welch algorithm"
105 条 记 录,以下是71-80 订阅
排序:
Automatic Classification of Disordered Voices with Hidden Markov Models
Automatic Classification of Disordered Voices with Hidden Ma...
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International Conference on Signal, Image, Vision and their Applications (SIVA)
作者: Benhammoud, Redouane Kacha, Abdellah Univ Mohamed Seddik Ben Yahia Lab Phys Reyonnement & Applicat Jijel Algeria
The auditory-based method is commonly used in the assessment of voice disorders. This method is subjective in the sense that the evaluation result depends on the listener and a great deal of expertise is required to o... 详细信息
来源: 评论
A Prognostic Method for Radar Transmitter Based on DHMM  8
A Prognostic Method for Radar Transmitter Based on DHMM
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2017 Prognostics and System Health Management Conference (PHM-Harbin)
作者: Yu, Pengfei Zhou, Zhenwei Cheng, Liye Lu, Yudong Minist Ind & Informat Technol Elect Res Inst 5 Sci & Technol Reliabil Phys & Applicat Elect Comp Guangzhou Guangdong Peoples R China
For the randomness and uncertainty of fault for Radar transmitter, a prognostic method based on discrete Hidden Markov Model (DHMM) is proposed. In the paper, three monitoring parameters of transmitter are collected a... 详细信息
来源: 评论
Dynamic and Interactive Gesture Recognition algorithm Based on Kinect  29
Dynamic and Interactive Gesture Recognition Algorithm Based ...
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第29届中国控制与决策会议
作者: Guangjun Dai Lei Yu Jun Huang College of Mechanical and Electrical Engineering Soochow University
With the constant development of smart devices, Gesture recognition is applied on more and more fields. Gesture recognition devices currently on the market are inconvenient and expensive. A gesture recognition method ... 详细信息
来源: 评论
Large Vocabulary Speech Recognition: Speaker Dependent and Speaker Independent  1
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2nd International Conference on Information Systems Design and Intelligent Applications (INDIA)
作者: Hemakumar, G. Punitha, P. Govt Coll Women Dept Comp Sci Mandya India PESIT Dept MCA Bangalore Karnataka India
This paper addresses the problem of large vocabulary isolated word and continuous Kannada speech recognition using the syllables and combination of Hidden Markov Model (HMM) and Normal fit method. The models designed ... 详细信息
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Re-estimation of Hidden Markov Model parameters of Phasor Measurement Unit
Re-estimation of Hidden Markov Model parameters of Phasor Me...
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IEEE Power, Communication and Information Technology Conference (PCITC)
作者: Murthy, Ch Roy, D. S. Mohanta, D. K. Natl Inst Sci & Technol Dept EEE Berhampur Orissa India Natl Inst Sci & Technol Dept CSE Berhampur Orissa India MVGR Coll Engn Dept EEE Vizianagaram 535005 India
In recent times, the power system has expanded in an unprecedented way owing to technological innovations and geographical dimensions. For ensuring proper operation, monitoring and control, a system called Wide Area M... 详细信息
来源: 评论
Real-time daily activity classification with wireless sensor networks using hidden Markov model
Real-time daily activity classification with wireless sensor...
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29th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society
作者: He, Jin Li, Huaming Tan, Jindong Michigan Technol Univ Dept Elect & Comp Engn Houghton MI 49931 USA
This paper presents a Hidden Markov Model (HMM) approach for real-time activity classification using signals from wearable wireless sensor networks. A wearable wireless sensor network can be used to continuously monit... 详细信息
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Training Second-Order Hidden Markov Models with Multiple Observation Sequences
Training Second-Order Hidden Markov Models with Multiple Obs...
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International Forum on Computer Science-Technology and Applications
作者: Du Shiping Chen Tao Zeng Xianyin Wang Jian Wei Yuming Sichuan Agr Univ Coll Biol & Sci Yaan 625014 Sichuan Peoples R China Sichuan Agr Univ Triticeae Res Inst Yaan 625014 Sichuan Peoples R China
Second-order hidden Markov models (HMM2) have been widely used in pattern recognition, especially in speech recognition. Their main advantages are their capabilities to model noisy temporal signals of variable length.... 详细信息
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Towards Efficient and Privacy-Preserving Federated Learning for HMM Training
Towards Efficient and Privacy-Preserving Federated Learning ...
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IEEE Conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity
作者: Zheng, Yandong Zhu, Hui Lu, Rongxing Zhang, Songnian Guan, Yunguo Wang, Fengwei Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China Univ New Brunswick Fac Comp Sci Fredericton NB E3B 5A3 Canada
The hidden Markov model (HMM) has played a pivotal role in various IoT applications due to its ability to model time-varying sequences. Since the datasets usually live in isolated islands and their privacy naturally d... 详细信息
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Stochastic Interpretation of Universal Portfolio and Generalized Target Classes
Stochastic Interpretation of Universal Portfolio and General...
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IEEE International Symposium on Information Theory (ISIT)
作者: Tsurusaki, Mariko Takeuchi, Jun'ichi Kyushu Univ Fac Informat Sci & Elect Engn Nishi Ku Fukuoka 8190395 Japan
We provide a new look at Cover's universal portfolio, where we define probability density functions (p.d.f.) representing wealth functions of portfolios. In this view, log wealth ratio of a portfolio sequence is e... 详细信息
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Application of the Hidden Markov Model for Innovative Projects "Viability" Analysis  19
Application of the Hidden Markov Model for Innovative Projec...
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19th IEEE International Conference on Soft Computing and Measurements (SCM)
作者: Rashidov, Aleksandr R. Shmidt, Igor A. Perm Natl Res Polytech Univ MMA Dept Perm Russia
This article deals with determining of innovative projects "viability". "Viability" is the probability of innovative project being implemented. Hidden Markov Models are used for evaluation of this ... 详细信息
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