Lihua GUO

From Easy to Difficult: A Self-Paced Multi-Task Joint Sparse Representation Method
Lihua GUO 
Publication:   
Publication Date: 2018/08/01
Vol. E101-D  No. 8  pp. 2115-2122
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
multi-task learning, sparse representation, self-paced learning, curriculum learning, 
 Summary | Full Text:PDF(354.7KB)
Self-Paced Learning with Statistics Uncertainty Prior
Lihua GUO 
Publication:   
Publication Date: 2018/03/01
Vol. E101-D  No. 3  pp. 812-816
Type of Manuscript:  LETTER
Category: Artificial Intelligence, Data Mining
Keyword: 
self-paced learning, curriculum learning, uncertainty prior, simulated annealing, 
 Summary | Full Text:PDF(917.8KB)
Manifold Kernel Metric Learning for Larger-Scale Image Annotation
Lihua GUO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/07/01
Vol. E98-D  No. 7  pp. 1396-1400
Type of Manuscript:  LETTER
Category: Pattern Recognition
Keyword: 
image annotation, kernel distance metric learning, manifold structure learning, 
 Summary | Full Text:PDF(267.4KB)
Locality-Constrained Multi-Task Joint Sparse Representation for Image Classification
Lihua GUO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/09/01
Vol. E96-D  No. 9  pp. 2177-2181
Type of Manuscript:  LETTER
Category: Image Recognition, Computer Vision
Keyword: 
image classification, multi-task learning, sparse representation, manifold learning, 
 Summary | Full Text:PDF(404.2KB)
Laplacian Support Vector Machines with Multi-Kernel Learning
Lihua GUO Lianwen JIN 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2011/02/01
Vol. E94-D  No. 2  pp. 379-383
Type of Manuscript:  LETTER
Category: Pattern Recognition
Keyword: 
semi-supervised learning, manifold regularization, multi-kernel learning, Laplacian support vector machine, 
 Summary | Full Text:PDF(718.3KB)