No BSD License
-
ADM1(TrainSet,TrainLabel,Test...
AMD measure for iterative 2DLDA
-
ADM2(TrainSet,TrainLabel,Test...
AMD measure for one-sided 2DLDA
-
FeatureVector=LDA2D(X,ClassNu...
-
FeatureVector=OLDA(X,ClassNum...
-
FeatureVector=ULDA(X,ClassNum...
classical LDA See Pattern recognition Letter
-
Fnorm1(TrainSet,TrainLabel,Te...
Frobinius measure see for iterative 2DLDA
-
Fnorm2(TrainSet,TrainLabel,Te...
Frobinor measures for one-sided 2DLDA
-
MiniClassfiers(TrainSet,Train...
-
VM1(TrainSet,TrainLabel,TestS...
volume measure for iterative 2DLDA
-
VM2(TrainSet,TrainLabel,TestS...
volume measure for one-sided 2DLDA.
-
Y=GetFullRankMatrix(YY)
-
[R, L]=iterative2DLDA(Trainse...
-
randdatagenerate.m
-
View all files
|
|
| File Information |
| Description |
These are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter'
In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assumption that the same dimensionality is considered. In experimental parts, on one hand, we confirm the validity of our claim and show the matrix-based methods are not always better than vector-based methods in the small sample size problem; on the other hand, we compare several distance measures when the feature matrices and feature vectors are adopted. |
| MATLAB release |
MATLAB 7.5 (R2007b)
|
|
Tags for This File
|
| Everyone's Tags |
|
| Tags I've Applied |
|
| Add New Tags |
Please login to tag files.
|
| Comments and Ratings (1) |
| 04 Oct 2008 |
ahmed abdelrahaman
|
|
|
|
Contact us at files@mathworks.com