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检索条件"主题词=Expectation-Maximization algorithm"
628 条 记 录,以下是461-470 订阅
排序:
Gender-dependent and speaker-dependent speech enhancement
Gender-dependent and speaker-dependent speech enhancement
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Potamitis, I Fakotakis, N Kokkinakis, G Univ Patras Dept Elect & Comp Engn Wire Commun Lab GR-26110 Patras Greece
Our work introduces a speech enhancement technique that can explicitly incorporate prior information about the gender or speaker time-frequency characteristics in its formalism. We approximate the multimodal, clean sp... 详细信息
来源: 评论
Model-Based Estimation of Mental Workload in Drivers Using Pupil Size Measurements
Model-Based Estimation of Mental Workload in Drivers Using P...
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IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
作者: Pillai, Prarthana Balasingam, Balakumar Biondi, Francesco N. Univ Windsor Dept Elect & Comp Engn 401 Sunset Ave Windsor ON N9G 3P4 Canada Univ Windsor Fac Human Kinet 401 Sunset Ave Windsor ON N9G 3P4 Canada
Passenger vehicles are increasingly adopting the use of automated driving systems (ADS) to help ease the workload of drivers and to improve road safety. These systems require human drivers to constantly maintain super... 详细信息
来源: 评论
Research on Russian Cultural Transliteration algorithm Based on Hidden Markov Model  24
Research on Russian Cultural Transliteration Algorithm Based...
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International Conference on Machine Intelligence and Digital Applications (MIDA)
作者: Wang, Hongling Liu, Chunfu Heilongjiang Univ Technol Sch Int Educ Jixi Peoples R China
Transliteration of cultural terminology poses unique challenges in natural language processing, particularly for the Russian language with its rich cultural lexicon. This research addresses these challenges by develop... 详细信息
来源: 评论
The Optimal Hyperparameter for Bayesian Clustering and its Application to the Evaluation of Clustering Results  7
The Optimal Hyperparameter for Bayesian Clustering and its A...
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Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)
作者: Yamazaki, Keisuke Tokyo Inst Technol Dept Computat Intelligence & Syst Sci Midori Ku G5-194259 Nagatsuta Yokohama Kanagawa Japan
In a probabilistic approach to cluster analysis, parametric models, such as a mixture of Gaussian distributions, are often used. Since the parameter is unknown, it is necessary to estimate both the parameter and the l... 详细信息
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Asset Life Prediction Using Multiple Degradation Indicators and Lifetime Data: a Gamma-based State Space Model Approach
Asset Life Prediction Using Multiple Degradation Indicators ...
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8th International Conference on Reliability, Maintainability and Safety (ICRMS 2009)
作者: Zhou, Yifan Ma, Lin Mathew, J. Kim, H. Wolff, Rodney Queensland Univ Technol Sch Engn Syst CRC Integrated Engn Asset Management Brisbane Qld 4001 Australia Queensland Univ Technol Sch Math Sci Brisbane Qld 4001 Australia
This paper proposes a Gamma-based state space model to predict engineering asset life when multiple degradation indicators are involved and the failure threshold on these indicators are uncertain. Monte Carlo-based pa... 详细信息
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Learning Finite Mixture of Ising Graphical Models
Learning Finite Mixture of Ising Graphical Models
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作者: Gu, Chong Western Michigan University
学位级别:Ph.D., Doctor of Philosophy
The Ising model is valuable in examining complex interactions within a system, but its estimation is challenging. In this work, we proposed penalized likelihood procedures to infer conditional dependence structure whe... 详细信息
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AN EM-algorithm APPROACH FOR THE DESIGN OF ORTHONORMAL BASES ADAPTED TO SPARSE REPRESENTATIONS
AN EM-ALGORITHM APPROACH FOR THE DESIGN OF ORTHONORMAL BASES...
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2010 IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Dremeau, A. Herzet, C. INRIA Ctr Rennes Bretagne Atlantique F-35000 Rennes France
In this paper, we consider the problem of dictionary learning for sparse representations. Several algorithms dealing with this problem can be found in the literature. One of them, introduced by Sezer et al. in [1] opt... 详细信息
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Combining Machine Learning and Information Retrieval Techniques for Software Clustering
Combining Machine Learning and Information Retrieval Techniq...
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1st International Workshop on Eternal Systems (EternalS 2011)
作者: Corazza, Anna Di Martino, Sergio Maggio, Valerio Scanniello, Giuseppe Univ Naples Federico II Naples Italy Univ Basilicata Potenza Italy
In the field of Software Maintenance the definition of effective approaches to partition a software system into meaningful subsystems is a longstanding and relevant research topic. These techniques are very important ... 详细信息
来源: 评论
Incremental Learning of Multivariate Gaussian Mixture Models
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Joint Conference of 20th Brazilian Symposium on Artificial Intelligence (SBIA) /SBRN/JRI
作者: Engel, Paulo Martins Heinen, Milton Roberto UFRGS Informat Inst BR-91501970 Porto Alegre RS Brazil
This paper presents a new algorithm for unsupervised incremental learning based on a Bayesian framework. The algorithm, called IGMM (for Incremental Gaussian Mixture Model), creates and continually adjusts a Gaussian ... 详细信息
来源: 评论
Kalman Filtering to Track Changes in Pupil Size for Automated Driving Systems  94
Kalman Filtering to Track Changes in Pupil Size for Automate...
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94th IEEE Vehicular Technology Conference (VTC-Fall)
作者: Pillai, Prarthana Balasingam, Balakumar Jaekel, Arunita Biondi, Francesco Univ Windsor Dept Elect & Comp Engn Windsor ON Canada Univ Windsor Sch Comp Sci Windsor ON Canada Univ Windsor Dept Kinesiol Windsor ON Canada
Automation has become indispensable in all walks of everyday life. In driving environments, Automated Driving Systems (ADS) aid the driver by reducing the required workload and by improving road safety. These systems ... 详细信息
来源: 评论