Dimensionality Reduction for Distributed Vision Systems Using Random Projection.

Vildana Sulic Janez Pers Matej Kristan Stanislav Kovacic

Published in: ICPR (2010)

Keyphrases

vision system
random projections
dimensionality reduction
computer vision systems
high dimensional
low dimensional
computer vision
pattern recognition

principal component analysis
high dimensional data
dimension reduction
high dimensionality
sparse representation
dimensionality reduction methods
visual attention
machine vision systems

data points
feature selection
feature extraction
linear discriminant analysis
image reconstruction
unsupervised learning
cognitive vision
original data

high quality
real time
visual environment
feature space
object recognition
singular value decomposition
metric learning