A General-Purpose Algorithm for Constrained Sequential Inference.
Daniel DeutschShyam UpadhyayDan RothPublished in: CoNLL (2019)
Keyphrases
- general purpose
- learning algorithm
- experimental evaluation
- computational complexity
- high accuracy
- probabilistic model
- detection algorithm
- theoretical analysis
- cost function
- segmentation algorithm
- optimization algorithm
- k means
- significant improvement
- dynamic programming
- expectation maximization
- matching algorithm
- times faster
- inference mechanism
- input data
- search space
- optimal solution
- objective function
- image sequences
- image segmentation
- computational cost
- bayesian networks
- convergence rate
- recognition algorithm
- improved algorithm
- constrained optimization
- loopy belief propagation
- decision trees