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Maximum Likelihood Linear Regression

Top Conferences on Maximum Likelihood Linear Regression

GLOBECOM 2023 - 2023 IEEE Global Communications Conference

2023 IEEE International Conference on Fuzzy Systems (FUZZ)

OCEANS 2023 - Limerick

2023 IEEE International Conference on Image Processing (ICIP)

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2023 International Joint Conference on Neural Networks (IJCNN)

2027 Annual Reliability and Maintainability Symposium (RAMS)

2022 IEEE International Symposium on Multimedia (ISM)

2022 IEEE International Conference on Multimedia and Expo (ICME)

2021 29th Signal Processing and Communications Applications Conference (SIU)

2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)

2020 25th International Conference on Pattern Recognition (ICPR)

2021 International Conference on Machine Learning and Cybernetics (ICMLC)

2021 National Conference on Communications (NCC)

2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP)

2021 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)

2021 17th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

2021 55th Asilomar Conference on Signals, Systems, and Computers

2020 15th IEEE International Conference on Signal Processing (ICSP)

2019 Prognostics and System Health Management Conference (PHM-Paris)

2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT)

2018 18th International Symposium on Communications and Information Technologies (ISCIT)

2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim)

2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)

2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)

2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

2012 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA)

2012 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE)

2012 4th International Conference on Electronics Computer Technology (ICECT)

2011 International Conference on Multimedia Technology (ICMT)

2011 IEEE International Symposium on Water Resource and Environmental Protection (ISWREP)

2010 5th International Symposium On I/V Communications and Mobile Network (ISVC)

2010 International Conference on Computer Science and Software Engineering (CSSE 2010)

2008 3rd International Conference on Information & Communication Technologies: from Theory to Applications (ICTTA)

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Xplore Articles related to Maximum Likelihood Linear Regression

SVM Based Speaker Recognition Using Maximum a posteriori Linear Regression

Minumum generation error linear regression based model adaptation for HMM- based speech synthesis

Commentary Paper on “Learning and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis”

Speaker adaptation using discriminative linear regression on time-varying mean parameters in trended HMM

Automatic generation of phonetic regression class trees for MLLR adaptation

Linear regression under maximum a posteriori criterion with Markov random field prior

Model Adaptation for HMM-Based Speech Synthesis under Minimum Generation Error Criterion

Blind Separation and Equalization Using Novel Hill-Climbing Optimization

Cluster adaptive training of hidden Markov models

Kernel Eigenspace-Based MLLR Adaptation

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E-books related to Maximum Likelihood Linear Regression

Feature and Model Transformation

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Most published Xplore authors for Maximum Likelihood Linear Regression

Xiang Zhang

Qingwei Zhao

Yonghong Yan

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Maximum Likelihood Linear Regression

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Top Conferences on Maximum Likelihood Linear Regression

Xplore Articles related to Maximum Likelihood Linear Regression

E-books related to Maximum Likelihood Linear Regression

Most published Xplore authors for Maximum Likelihood Linear Regression