Prediction of sensitivity to gefitinib/erlotinib for EGFR mutations in NSCLC based on structural interaction fingerprints and multilinear principal component analysis

Principal Component ◽

Component Analysis ◽

Egfr Mutations ◽

Structural Interaction ◽

Interaction Fingerprints ◽

Speech Emotion Recognition Based on Multilinear Principal Component Analysis

International Journal of Advancements in Computing Technology ◽

10.4156/ijact.vol5.issue6.53 ◽

2013 ◽

Vol 5 (6) ◽

pp. 452-459

Author(s):

XIN Minghai ◽

Weiyi Gu

Keyword(s):

Emotion Recognition ◽

Principal Component ◽

Component Analysis ◽

Speech Emotion Recognition ◽

2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT) ◽

Caries Detection with the Aid of Multilinear Principal Component Analysis and Neural Network

10.1109/icgciot.2018.8753002 ◽

2018 ◽

Author(s):

Shashikant Patil ◽

Vaishali Kulkarni ◽

Archana Bhise

Keyword(s):

Neural Network ◽

Principal Component ◽

Component Analysis ◽

Caries Detection ◽

Monitoring and diagnosis of multichannel nonlinear profile variations using uncorrelated multilinear principal component analysis

IIE Transactions ◽

10.1080/0740817x.2013.770187 ◽

2013 ◽

Vol 45 (11) ◽

pp. 1235-1247 ◽

Cited By ~ 45

Author(s):

Kamran Paynabar ◽

Jionghua (Judy) Jin ◽

Massimo Pacella

Keyword(s):

Principal Component ◽

Component Analysis ◽

Monitoring And Diagnosis ◽

Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2009.2031144 ◽

2009 ◽

Vol 20 (11) ◽

pp. 1820-1836 ◽

Cited By ~ 74

Author(s):

Haiping Lu ◽

K.N. Plataniotis ◽

A.N. Venetsanopoulos

Keyword(s):

Principal Component ◽

Component Analysis ◽

Subspace Learning ◽

A classification method to detect faults in a rotating machinery based on kernelled support tensor machine and multilinear principal component analysis

Applied Intelligence ◽

10.1007/s10489-020-02011-9 ◽

2020 ◽

Author(s):

Chaofan Hu ◽

Shuilong He ◽

Yanxue Wang

Keyword(s):

Principal Component ◽

Component Analysis ◽

Rotating Machinery ◽

Classification Method ◽

The generalized degrees of freedom of multilinear principal component analysis

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2019.01.010 ◽

2019 ◽

Vol 173 ◽

pp. 26-37 ◽

Cited By ~ 1

Author(s):

I-Ping Tu ◽

Su-Yun Huang ◽

Dai-Ni Hsieh

Keyword(s):

Degrees Of Freedom ◽

Principal Component ◽

Component Analysis ◽

Generalized Degrees Of Freedom ◽

- Multilinear Principal Component Analysis

Multilinear Subspace Learning ◽

10.1201/b16252-13 ◽

2013 ◽

pp. 136-169

Keyword(s):

Principal Component ◽

Component Analysis ◽

Uncorrelated multilinear principal component analysis through successive variance maximization

Proceedings of the 25th international conference on Machine learning - ICML '08 ◽

10.1145/1390156.1390234 ◽

2008 ◽

Cited By ~ 12

Author(s):

Haiping Lu ◽

Konstantinos N. Plataniotis ◽

Anastasios N. Venetsanopoulos

Keyword(s):

Principal Component ◽

Component Analysis ◽

A noise robust speech features extraction approach in multidimensional cortical representation using multilinear principal component analysis

International Journal of Speech Technology ◽

10.1007/s10772-015-9274-8 ◽

2015 ◽

Vol 18 (3) ◽

pp. 351-365 ◽

Cited By ~ 5

Author(s):

Mehdi Fartash ◽

Saeed Setayeshi ◽

Farbod Razzazi

Keyword(s):

Principal Component ◽

Component Analysis ◽

Features Extraction ◽

Cortical Representation ◽

Speech Features ◽

Noise Robust ◽

A comparative study of multilinear principal component analysis for face recognition

2008 37th IEEE Applied Imagery Pattern Recognition Workshop ◽

10.1109/aipr.2008.4906476 ◽

2008 ◽

Cited By ~ 3

Author(s):

Jin Wang ◽

Yu Chen ◽

Malek Adjouadi

Keyword(s):

Face Recognition ◽

Comparative Study ◽

Principal Component ◽

Component Analysis ◽