Incremental Methods for Simple Problems in Time Series: Algorithms and Experiments.
Xiaojian ZhaoXin ZhangTyler NeylonDennis E. ShashaPublished in: IDEAS (2005)
Keyphrases
- methods can be applied
- difficult problems
- computational cost
- problems in computer vision
- significant improvement
- computational challenges
- benchmark datasets
- alternative methods
- practical problems
- search methods
- methods require
- heuristic methods
- large scale data sets
- optimization problems
- huge data sets
- theoretical guarantees
- statistical methods
- data mining tasks
- computationally expensive
- convex optimization problems
- monte carlo methods
- computer vision algorithms
- exact and approximate
- incremental version
- computationally costly
- specific problems
- technical advances
- feature selection
- optimization methods
- computationally efficient
- data mining techniques
- data structure
- iterative algorithms
- synthetic and real datasets
- computational approaches
- straight forward
- synthetic datasets
- computationally demanding
- machine learning methods
- linear dynamical systems
- semi supervised
- computational complexity
- decision trees