Variable dimension algorithms: Basic theory, interpretations and extensions of some existing methods.
Masakazu KojimaYoshitsugu YamamotoPublished in: Math. Program. (1982)
Keyphrases
- significant improvement
- benchmark datasets
- computationally expensive
- computational cost
- methods outperform
- methods require
- machine learning algorithms
- machine learning methods
- high computational complexity
- linear algebra
- synthetic and real datasets
- synthetic and real data sets
- optimization methods
- efficient implementation
- exhaustive search
- computationally intensive
- computationally complex
- computer vision algorithms
- algorithms require
- mathematical foundations
- complexity analysis
- image processing algorithms
- methods can be applied
- synthetic datasets
- mathematical models
- preprocessing
- learning algorithm
- noisy data
- optimization problems
- theoretical analysis
- theoretical framework
- association rules
- worst case
- empirical studies
- error measure
- computationally efficient
- feature selection algorithms
- statistical methods
- search methods
- problems in computer vision
- evaluation metrics
- heuristic methods
- hybrid method