On A Class of Greedy Sparse Recovery Algorithms - A High Dimensional Approach.
Gang LiQiuwei LiShuang LiWu Angela LiPublished in: CoRR (2024)
Keyphrases
- high dimensional
- greedy algorithms
- theoretical analysis
- computational cost
- learning algorithm
- stochastic search
- benchmark datasets
- significant improvement
- multi dimensional
- data mining techniques
- computational complexity
- objective function
- similarity search
- data structure
- noisy data
- greedy algorithm
- variable selection
- high dimensional problems
- machine learning
- metric space
- sparse coding
- machine learning algorithms
- dimensionality reduction
- worst case