Computational complexity reduction methods for multiscale recurrent pattern algorithms.
Nelson C. FranciscoNuno M. M. RodriguesEduardo A. B. da SilvaMurilo B. de CarvalhoSérgio M. M. de FariaPublished in: EUROCON (2011)
Keyphrases
- computational complexity
- computational cost
- multiscale
- high computational complexity
- significant improvement
- methods outperform
- benchmark datasets
- machine learning methods
- data reduction
- image processing
- search methods
- optimization methods
- computationally demanding
- exhaustive search
- synthetic and real data sets
- statistical methods
- computationally expensive
- computationally efficient
- data mining techniques
- worst case
- computational efficiency
- machine learning algorithms
- preprocessing
- evaluation metrics
- computationally intensive
- image processing algorithms
- algorithms require
- special case
- computationally complex
- methods can be applied
- data structure
- methods require
- artificial neural networks
- pattern discovery
- memory requirements
- theoretical analysis
- neural network