Mixture Models and Applications (Record no. 75721)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04558nam a22006135i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-23876-6 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801213906.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190813s2020 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783030238766 |
| -- | 978-3-030-23876-6 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.382 |
| 245 10 - TITLE STATEMENT | |
| Title | Mixture Models and Applications |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XII, 355 p. 120 illus., 88 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Unsupervised and Semi-Supervised Learning, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | A Gaussian Mixture Model Approach To Classifying Response Types -- Interactive Generation Of Calligraphic Trajectories From Gaussian Mixtures -- Mixture models for the analysis, edition, and synthesis of continuous time series -- Multivariate Bounded Asymmetric Gaussian Mixture Model -- Online Recognition Via A Finite Mixture Of Multivariate Generalized Gaussian Distributions -- L2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of Von Mises Distributions with Localized Feature Selection -- Deriving Probabilistic SVM Kernels From Exponential Family Approximations to Multivariate Distributions for Count Data -- Toward an Efficient Computation of Log-likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering -- A Frequentist Inference Method Based On Finite Bivariate And Multivariate Beta Mixture Models -- Finite Inverted Beta-Liouville Mixture Models with Variational Component Splitting -- Online Variational Learning for Medical Image Data Clustering -- Color Image Segmentation using Semi-Bounded Finite Mixture Models by Incorporating Mean Templates -- Medical Image Segmentation Based on Spatially Constrained Inverted Beta-Liouville Mixture Models -- Flexible Statistical Learning Model For Unsupervised Image Modeling And Segmentation. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting and challenging problems such as parameters estimation, model selection, feature selection, etc. The goal of this book is to summarize the recent advances and modern approaches related to these problems. Each contributor presents novel research, a practical study, or novel applications based on mixture models, or a survey of the literature. Reports advances on classic problems in mixture modeling such as parameter estimation, model selection, and feature selection; Present theoretical and practical developments in mixture-based modeling and their importance in different applications; Discusses perspectives and challenging future works related to mixture modeling. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Bouguila, Nizar. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Fan, Wentao. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-030-23876-6 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2020. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science—Mathematics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical statistics—Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Probabilities. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal, Speech and Image Processing . |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Probability and Statistics in Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Statistics and Computing. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Probability Theory. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2522-8498 |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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