Tensor Subspace Learning and Classification: Tensor Local Discriminant Embedding for Hyperspectral Image.

Lei He Hongwei Yang Lina Zhao

Published in: ICCV Workshops (2019)

Keyphrases

subspace learning
hyperspectral images
dimensionality reduction
subspace learning algorithm
manifold learning
pattern classification
pattern recognition
fisher criterion
feature extraction
graph embedding

higher order
face recognition
hyperspectral
supervised learning
sparse representation
high dimensionality
principal component analysis
feature space
locality preserving projections

remote sensing
data representation
feature selection
high dimensional
data analysis
low dimensional
unsupervised learning
computer vision
label information

image classification
dimension reduction
support vector machine svm
data sets
feature vectors
training set
support vector
image processing
machine learning