Attention-Aware Residual Network Based Manifold Learning for White Blood Cells Classification.
Pu HuangJing WangJian ZhangYajuan ShenCong LiuWeiqing SongShangshang WuYuwei ZuoZhiming LuDengwang LiPublished in: IEEE J. Biomed. Health Informatics (2021)
Keyphrases
- manifold learning
- dimension reduction
- feature extraction
- low dimensional
- dimensionality reduction
- feature space
- nonlinear dimensionality reduction
- white blood cells
- feature mapping
- subspace learning
- diffusion maps
- pattern recognition
- high dimensional
- automatic recognition
- image classification
- locality preserving
- pattern classification
- high dimensional data
- decision trees
- semi supervised
- support vector machine
- high dimensionality
- machine learning
- locality preserving projections
- feature selection
- laplacian eigenmaps
- data mining
- manifold structure
- support vector
- model selection
- training set
- supervised learning
- feature vectors