Distributed pairwise algorithms with gradient descent methods.
Baobin WangTing HuPublished in: Neurocomputing (2019)
Keyphrases
- methods outperform
- computationally expensive
- significant improvement
- benchmark datasets
- pairwise
- machine learning algorithms
- machine learning methods
- computational cost
- preprocessing
- synthetic and real datasets
- optimization methods
- conjugate gradient
- high computational complexity
- spectral clustering
- neural network
- computationally efficient
- worst case
- computer vision algorithms
- algorithms require
- methods require
- computationally demanding
- data sets
- distributed systems
- computationally intensive
- problems in computer vision
- multi class
- machine learning
- iterative methods
- consensus clustering