Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification.
Xuenian WangShanshan ShiRenao YanQiehe SunLianghui ZhuTian GuanYonghong HePublished in: CoRR (2024)
Keyphrases
- fine tuning
- image classification
- image features
- clustering algorithm
- clustering method
- spatial pooling
- fine tune
- viable alternative
- bag of words
- data driven
- spatial pyramid
- image representation
- optimal solution
- feature extraction
- data clustering
- spectral clustering
- search algorithm
- visual features
- feature vectors
- cluster analysis
- unsupervised learning
- k means
- spatial pyramid matching
- feature set
- class specific
- sparse coding
- document clustering
- fine tuned
- tabu search
- genetic algorithm
- locality preserving projections
- multidimensional scaling
- bag of features
- categorical data
- visual words
- information theoretic
- distance metric
- dynamic programming