FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals.
Sergio Martin del CampoKim AlbertssonJoakim NilssonJens EliassonFredrik SandinPublished in: MLSP (2013)
Keyphrases
- machine learning
- signal processing
- feature representation
- data conversion
- vector representation
- machine learning methods
- digital signal
- real time
- image representation
- image features
- event detection
- data mining
- event driven
- feature maps
- transfer function
- reinforcement learning
- machine learning algorithms
- text mining
- pattern recognition
- text classification
- support vector machine
- hardware implementation
- decision trees
- feature vectors
- low cost
- feature selection
- computer vision
- natural language processing