Energy-Quality Scalable Memory-Frugal Feature Extraction for Always-On Deep Sub-mW Distributed Vision.
Anastacia B. AlvarezGopalakrishnan PonnusamyMassimo AliotoPublished in: IEEE Access (2020)
Keyphrases
- feature extraction
- scalable distributed
- distributed systems
- image processing
- cooperative
- feature vectors
- computer vision
- power consumption
- lightweight
- multi agent
- high quality
- data intensive
- quality assessment
- quality measures
- pattern classification
- distributed storage
- real time
- texture analysis
- distributed environment
- data quality
- preprocessing
- feature selection
- energy consumption
- image classification
- memory usage
- data transfer
- map reduce
- fully distributed
- low memory
- high scalability
- data management
- wavelet transform