Model Compression
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding
Introduced by Khelifati et al. in CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary CodingPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Autonomous Vehicles | 1 | 14.29% |
| Data Compression | 1 | 14.29% |
| Dictionary Learning | 1 | 14.29% |
| Lossy-Compression Artifact Reduction | 1 | 14.29% |
| Sequential Correlation Estimation | 1 | 14.29% |
| Time Series Analysis | 1 | 14.29% |
| Time Series Streams | 1 | 14.29% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
