• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 46 matches

• 2024
• 
  Ryosuke Motegi, Yoichi Seki:
  A simulation study of cluster search algorithms in data set generated by Gaussian mixture models. CoRR abs/2407.19199 (2024)
• 2023
• 
  Angel L. Cedeño, Rafael Orellana, Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero:
  Finite Impulse Response Errors-in-Variables System Identification Utilizing Approximated Likelihood and Gaussian Mixture Models. IEEE Access 11: 24615-24630 (2023)
• 
  Bastien Chassagnol, Antoine Bichat, Cheïma Boudjeniba, Pierre-Henri Wuillemin, Mickaël Guedj, David Gohel, Grégory Nuel, Etienne Becht:
  Gaussian Mixture Models in R. R J. 15(2): 56-76 (2023)
• 2022
• 
  Riko Kelter:
  bayesanova: An R package for Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models. R J. 14(1): 54-78 (2022)
• 
  Elad Romanov, Tamir Bendory, Or Ordentlich:
  On the Role of Channel Capacity in Learning Gaussian Mixture Models. COLT 2022: 4110-4159
• 
  Diyar Fadhil, Rodolfo Oliveira:
  Estimation of the End-to-End Delay in 5G Networks Through Gaussian Mixture Models. DoCEIS 2022: 83-91
• 
  Elad Romanov, Tamir Bendory, Or Ordentlich:
  On the Role of Channel Capacity in Learning Gaussian Mixture Models. CoRR abs/2202.07707 (2022)
• 2021
• 
  Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
  Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models. Entropy 23(2): 178 (2021)
• 
  Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Guillaume Rieu, Jean-Yves Tourneret:
  Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models - Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops. CoRR abs/2110.11780 (2021)
• 2020
• 
  Zahra Sabetsarvestani, Francesco Renna, Franz J. Király, Miguel R. D. Rodrigues:
  Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation. IEEE Trans. Signal Process. 68: 558-572 (2020)
• 
  Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis:
  Optimality of Least-squares for Classification in Gaussian-Mixture Models. ISIT 2020: 2515-2520
• 2019
• 
  Dwaipayan Roy, Debasis Ganguly, Mandar Mitra, Gareth J. F. Jones:
  Estimating Gaussian mixture models in the local neighbourhood of embedded word vectors for query performance prediction. Inf. Process. Manag. 56(3): 1026-1045 (2019)
• 
  Mattis Hartwig, Marcel Gehrke, Ralf Möller:
  Approximate Query Answering in Complex Gaussian Mixture Models. ICBK 2019: 81-86
• 
  Alexander Gepperth, Benedikt Pfülb:
  Gradient-based training of Gaussian Mixture Models in High-Dimensional Spaces. CoRR abs/1912.09379 (2019)
• 2018
• 
  Raghad Al-Shabandar, Abir Hussain, Robert Keight, Andy Laws, Thar Baker:
  The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. CEC 2018: 1-8
• 
  Paloma Tirado-Martin, Raul Sánchez-Reillo, Jongwon Park:
  Effects of Data Reduction when using Gaussian Mixture Models in Unidimensional Biometric Signals. ICCST 2018: 1-5
• 2017
• 
  Ahmad Chaddad, Markus Luedi, Pascal O. Zinn, Rivka R. Colen:
  Corrigendum to "Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models". Int. J. Biomed. Imaging 2017: 3247974:1 (2017)
• 
  Nabin Maharjan, Rajendra Banjade, Vasile Rus:
  Automated Assessment of Open-ended Student Answers in Tutorial Dialogues Using Gaussian Mixture Models. FLAIRS 2017: 98-103
• 
  Javier Almeida, Nelson F. Velasco, Charlens Álvarez Jimenez, Eduardo Romero:
  Gaussian mixture models for detection of autism spectrum disorders (ASD) in magnetic resonance imaging. SIPAIM 2017: 105720F
• 
  Aarthi Reddy, Meredith Ordway-West, Melissa Lee, Matt Dugan, Joshua Whitney, Ronen Kahana, Brad Ford, Johan Muedsam, Austin Henslee, Max Rao:
  Using Gaussian Mixture Models to Detect Outliers in Seasonal Univariate Network Traffic. IEEE Symposium on Security and Privacy Workshops 2017: 229-234
• 2016
• 
  Hongchuan Wei, Wenjie Lu, Pingping Zhu, Silvia Ferrari, Miao Liu, Robert H. Klein, Shayegan Omidshafiei, Jonathan P. How:
  Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. Autom. 74: 360-368 (2016)
• 
  Hind Oulhaj, Mohammed Rziza, Aouatif Amine, Rachid Jennane, Mohammed El Hassouni:
  Texture classification using relative phase and Gaussian mixture models in the complex wavelet domain. AICCSA 2016: 1-7
• 2015
• 
  Daniel Erro, Agustín Alonso, Luis Serrano, Eva Navas, Inma Hernáez:
  Interpretable parametric voice conversion functions based on Gaussian mixture models and constrained transformations. Comput. Speech Lang. 30(1): 3-15 (2015)
• 
  Petr Motlícek, Subhadeep Dey, Srikanth R. Madikeri, Lukás Burget:
  Employment of Subspace Gaussian Mixture Models in speaker recognition. ICASSP 2015: 4445-4449
• 
  Emma Jokinen, Ulpu Remes, Paavo Alku:
  Comparison of Gaussian process regression and Gaussian mixture models in spectral tilt modelling for intelligibility enhancement of telephone speech. INTERSPEECH 2015: 85-89
• 
  Ryan P. Burke, Zhoubing Xu, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
  Multi-atlas segmentation for abdominal organs with Gaussian mixture models. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941707
• 
  Bruno H. A. Pilon, João Paulo Carvalho Lustosa da Costa, Juan José Murillo-Fuentes, Rafael T. de Sousa Jr.:
  Statistical Audit via Gaussian Mixture Models in Business Intelligence Systems. SBSI 2015: 683-690
• 
  Ryan Maas, Jeremy Hyrkas, Olivia Grace Telford, Magdalena Balazinska, Andrew J. Connolly, Bill Howe:
  Gaussian Mixture Models Use-Case: In-Memory Analysis with Myria. IMDM@VLDB 2015: 3:1-3:8
• 2014
• 
  Alex Martins Santos, Antonio Oseas de Carvalho Filho, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Rodolfo Acatauassu Nunes, Marcelo Gattass:
  Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM. Eng. Appl. Artif. Intell. 36: 27-39 (2014)
• 
  Sina Hamidi Ghalehjegh, Richard C. Rose:
  Two-stage speaker adaptation in subspace Gaussian mixture models. ICASSP 2014: 6324-6328

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