Database Learning: a Method for Empirical Algorithm Design.
Mark K. GoldbergDavid L. HollingerPublished in: WAE (1997)
Keyphrases
- learning algorithm
- theoretical analysis
- dynamic programming
- high accuracy
- improved algorithm
- computational complexity
- preprocessing
- cost function
- experimental evaluation
- computational cost
- significant improvement
- database
- clustering method
- synthetic and real images
- optimization algorithm
- computationally efficient
- optimization method
- detection method
- classification algorithm
- matching algorithm
- learning speed
- classification method
- segmentation algorithm
- recognition algorithm
- high efficiency
- objective function
- single pass
- convergence rate
- similarity measure
- k means
- segmentation method
- detection algorithm
- support vector machine
- noisy data
- selection algorithm
- optimal solution
- tree structure
- prior knowledge
- image segmentation
- probabilistic model
- estimation algorithm
- learning scheme
- learning stage
- yale database
- energy function
- em algorithm
- np hard
- learning process
- support vector machine svm
- training process
- expectation maximization
- search space
- database systems
- clustering algorithm
- machine learning