Target Detection within Nonhomogeneous Clutter via Total Bregman Divergence-Based Matrix Information Geometry Detectors.
Xiaoqiang HuaYusuke OnoLinyu PengYongqiang ChengHongqiang WangPublished in: CoRR (2020)
Keyphrases
- target detection
- bregman divergences
- cost sensitive
- information theoretic
- mahalanobis distance
- maximum entropy
- learning theory
- exponential family
- nearest neighbor
- loss function
- theoretical guarantees
- nonnegative matrix factorization
- kl divergence
- object detection
- sar images
- covariance matrix
- negative matrix factorization
- multi class
- boosting algorithms
- image sequences
- mutual information
- object recognition
- computer vision
- probability density function
- naive bayes
- maximum likelihood