Incremental Maximum Gaussian Mixture Partition For Classification (original) (raw)

Profile image of Max XueMax Xue

2017

visibility

description

4 pages

link

1 file

Gaussian Mixture Optimization Based on Efficient Cross-Validation

Tatsuya Kawahara

IEEE Journal of Selected Topics in Signal Processing, 2010

View PDFchevron_right

Shared mixture distributions and shared mixture classifiers

Geoff Jarrad

1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251), 1999

View PDFchevron_right

Combining Classifiers Based on Gaussian Mixture Model Approach to Ensemble Data

Edgar Acuna

Communications in Computer and Information Science, 2014

View PDFchevron_right

Classification

Matthew Jockers

Text Analysis with R, 2020

View PDFchevron_right

Finite Mixture Distributions

David Hand

Biometrics, 1981

View PDFchevron_right

Editorial: recent developments in mixture models

Wilfried Seidel

Computational Statistics & Data Analysis, 2003

View PDFchevron_right

Data Partitioning for Ensemble Model Building

Ates Dagli

International Journal on Cloud Computing: Services and Architecture, 2017

View PDFchevron_right

Error rate estimation by mixture decomposition

David Hand

Computers & Mathematics with Applications, 1987

View PDFchevron_right

k-MLE for mixtures of generalized Gaussians

Yannick Berthoumieu

Proceedings of the 21st International Conference on Pattern Recognition, 2012

View PDFchevron_right

Hierarchical Similarity Transformations Between Gaussian Mixtures

Yorgos Goletsis

IEEE Transactions on Neural Networks and Learning Systems, 2013

View PDFchevron_right

Loading...

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

Classification by Feature Partitioning

H. Altay Güvenir

Machine Learning, 1996

View PDFchevron_right

On Approximations via Convolution Defined Mixture Models

Ugwu Victor

Taylor & Francis, 2019

View PDFchevron_right

Bayesian classification by data augmentation

Giovanna Venuti

International Journal of Remote Sensing, 2003

View PDFchevron_right

Statistical estimation of a mixture of Gaussian distributions

Marijus Radavičius

Acta Applicandae Mathematicae, 1995

View PDFchevron_right

Simple Methods for Initializing the EM Algorithm for Gaussian Mixture Models

Johannes Blomer

2013

View PDFchevron_right

Gaussian mixture modeling and model-based clustering under measurement inconsistency

Shuchismita Sarkar

Advances in Data Analysis and Classification, 2020

View PDFchevron_right

Classification Using Kernel Density Estimates

Debasis Sengupta

Technometrics, 2006

View PDFchevron_right

2.4 Using Multiple Machine Learning Techniques to Improve the Classification of a Storm Set

David John

View PDFchevron_right

Portfolio optimization when asset returns have the Gaussian mixture distribution

Ian Buckley

European Journal of Operational Research, 2008

View PDFchevron_right

An optimisation of Gaussian mixture models for integer processing units

Dimitrios Makris

J Real-Time Image Proc, 2014

View PDFchevron_right

Model For Spectral Classification

Ranjana Ingolikar

International Journal Of Engineering And Computer Science, 2016

View PDFchevron_right

EM algorithm and varible Neighborhood Search for fitting Finite Mixture Model parameters

Adel Bessadok

2009 International Multiconference on Computer Science and Information Technology, 2009

View PDFchevron_right

Robust Classification

Dimitris Bertsimas

INFORMS journal on optimization, 2019

View PDFchevron_right

A new incremental neural network for simultaneous clustering and classification

hebboul amel

Neurocomputing, 2015

View PDFchevron_right

An incremental nested partition method for data clustering

Jyrko Morris

Pattern Recognition, 2010

View PDFchevron_right

I want to know more—efficient multi-class incremental learning using Gaussian processes

Joachim Denzler

Pattern Recognition and Image Analysis, 2013

View PDFchevron_right

Mixtures of Gaussian distributions and projection pursuit preserving information about cluster structure

Marijus Radavičius

Lithuanian Mathematical Journal, 1997

View PDFchevron_right

Estimating Components in Finite Mixtures and Hidden Markov Models

Donald Poskitt

Australian <html_ent glyph="@amp;" ascii="&"/> New Zealand Journal of Statistics, 2005

View PDFchevron_right

IGMN: An Incremental Gaussian Mixture Network that Learns Instantaneously from Data Flows

Rafael Pinto

dimap.ufrn.br

View PDFchevron_right

Prior ensemble learning

Hiếu Huỳnh

International Journal of Computer Assisted Radiology and Surgery, 2021

View PDFchevron_right

Ensemble Of Ensemble Prediction Systems

Douglas Pearman

2011

View PDFchevron_right

An approximation to the information matrix of exponential family finite mixtures

Nagaraj Neerchal

Annals of the Institute of Statistical Mathematics, 2015

View PDFchevron_right

On choosing mixture components via non-local priors

Mark Steel

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2019

View PDFchevron_right

L.: Experimental comparison between bagging and Monte Carlo ensemble classification

Lorenza Saitta

2005

View PDFchevron_right

Fitting of mixtures with unspecified number of components using cross validation distance estimate

Mark Van Der Laan

Computational Statistics & Data Analysis, 2003

View PDFchevron_right

MathematicsMixture Model