Face Recognition Using LDA Mixture Model

  title={Face Recognition Using LDA Mixture Model},
  author={Hyun-Chul Kim and Daijin Kim and Sung Yang Bang},

From This Paper

Topics from this paper.


Publications citing this paper.
Showing 1-10 of 45 extracted citations

Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features

IEEE Transactions on Medical Imaging • 2014
View 17 Excerpts
Highly Influenced

A two-stage learning approach to face recognition

J. Visual Communication and Image Representation • 2017
View 4 Excerpts
Highly Influenced

Analysis of Different Subspace Mixture Models in Handwriting Recognition

2012 International Conference on Frontiers in Handwriting Recognition • 2012
View 4 Excerpts
Highly Influenced

Application of Chaotic Neural Network on Face Recognition

2005 International Conference on Neural Networks and Brain • 2005
View 4 Excerpts
Highly Influenced

Deep convolutional neural network applies to face recognition in small and medium databases

2017 4th International Conference on Systems and Informatics (ICSAI) • 2017
View 1 Excerpt

Face recognition algorithm using extended vector quantization histogram features

2016 IEEE 13th International Conference on Signal Processing (ICSP) • 2016

A study of subspace mixture models with different classifiers for very large object classification

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI) • 2014
View 1 Excerpt

Similar Papers

Loading similar papers…