Dynamic Programming Boosting for Discriminative Macro-Action Discovery.
Leonidas LefakisFrançois FleuretPublished in: ICML (2014)
Keyphrases
- dynamic programming
- action classification
- feature selection
- knowledge discovery
- decision stumps
- state space
- learning algorithm
- coarse to fine
- linear programming
- greedy algorithm
- ensemble learning
- discovery process
- scientific discovery
- action recognition
- discriminative classifiers
- unsupervised learning
- semi supervised
- human actions
- dp matching
- adaboost algorithm
- stereo matching
- pattern discovery
- cost sensitive
- single machine
- data mining
- optimal policy
- video sequences
- feature extraction
- machine learning