Results 301 to 310 of about 300,940 (321)

Resampling LDA/QR and PCA+LDA for Face Recognition

2005
Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the Small Sample Size (SSS) problem in traditional LDA. When applied to face recognition under varying lighting conditions and different facial expressions, neither method may work robustly.
Jun Liu, Songcan Chen
openaire   +1 more source

1D-LDA verses 2D-LDA in online handwriting recognition

International Conference on Circuits, Communication, Control and Computing, 2014
The paper compares the performance of both one-dimensional (ID) and two-dimensional (2D) linear discriminant analysis (LDA) in recognizing online handwritten Kannada characters. The main difference between 1D-LDA and 2D-LDA is the way the data is presented to these tools for dimensionality reduction.
openaire   +1 more source

LDA Signal Analysis

1978
It is the purpose of this paper to review some fundamental contributions related to the problem of understanding the fundamental properties of the Doppler signal produced by a single scattering particle and to present typical results obtained by a computational procedure developed at the Politecnico di Milano.
Aldo Coghe, Umberto Ghezzi
openaire   +1 more source

Learning Regularized LDA by Clustering

IEEE Transactions on Neural Networks and Learning Systems, 2014
As a supervised dimensionality reduction technique, linear discriminant analysis has a serious overfitting problem when the number of training samples per class is small. The main reason is that the between- and within-class scatter matrices computed from the limited number of training samples deviate greatly from the underlying ones.
Pang, Yanwei, Wang, Shuang, Yuan, Yuan
openaire   +3 more sources

LDA

2021
Wolfgang Karl Härdle, Xinwen Ni
openaire   +1 more source

LDA Application Examples

2010
One of the most successful applications of the LDA method in flow measurements is the measurement of the high speed jet in a Pelton turbine.
openaire   +1 more source

LDA Extensions

2021
Wolfgang Karl Härdle, Xinwen Ni
openaire   +1 more source

Exchange interactions in (ZnMn)Se: LDA and LDA+U calculations

Physical Review B, 2003
One of the remarkable properties of the II-VI diluted magnetic semiconductor (ZnMn)Se is the giant spin splitting of the valence-band states under application of the magnetic field (giant Zeeman splitting). This splitting reveals strong exchange interaction between Mn moments and semiconductor states. On the other hand, no magnetic phase transition has
openaire   +1 more source

WT-LDA: User Tagging Augmented LDA for Web Service Clustering

2013
Clustering Web services that groups together services with similar functionalities helps improve both the accuracy and efficiency of the Web service search engines. An important limitation of existing Web service clustering approaches is that they solely focus on utilizing WSDL Web Service Description Language documents.
Liang Chen, Yilun Wang, Qi Yu, Zibin Zheng, Jian Wu   +4 more
openaire   +1 more source

Discriminative LDA

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content, 2010
Weiran Xu, Mingzhi Dong, YunHang Lin, Jun Guo, Guang Chen   +4 more
openaire   +1 more source