Absorbing Diagonal Algorithm for Enhancing Randomized SVD Algorithms in Collaborative Filtering✱.
Junfeng WuYuanyuan WuJing HeChi-Hung ChiGuang-Li HuangPeng LiYimu JiHaichang YaoPublished in: WI (Companion) (2019)
Keyphrases
- learning algorithm
- computational complexity
- computational efficiency
- times faster
- theoretical analysis
- computational cost
- worst case
- computationally efficient
- image processing algorithms
- preprocessing
- significant improvement
- np hard
- empirical analyses
- classification algorithm
- detection algorithm
- collaborative filtering
- dynamic programming
- related algorithms
- synthetic and real datasets
- convergence rate
- single pass
- synthetic datasets
- segmentation algorithm
- maximum flow
- filtering algorithm
- data structure
- solution quality
- hybrid algorithm
- simulated annealing
- randomized algorithms
- incremental algorithms
- memory requirements
- iterative algorithms
- algorithms require
- optimal solution
- randomized algorithm
- space complexity
- benchmark problems
- expectation maximization