Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering.
Enrique González RodrigoJuan A. AledoJosé A. GámezPublished in: Prog. Artif. Intell. (2019)
Keyphrases
- learning algorithm
- k means
- clustering method
- preprocessing
- cost function
- learning phase
- detection algorithm
- computational complexity
- incremental learning
- hierarchical clustering
- learning speed
- optimal solution
- optimization algorithm
- version space
- unsupervised learning
- unsupervised manner
- dynamic programming
- np hard
- learning process
- expectation maximization
- clustering approaches
- worst case
- computational cost
- distance metric
- synthetic and real datasets
- information bottleneck
- subspace clustering
- segmentation algorithm
- input data
- nearest neighbor
- search space
- image segmentation