Exploiting Kernel Compression on BNNs.
Franyell SilfaJosé-María ArnauAntonio GonzálezPublished in: DATE (2023)
Keyphrases
- data compression
- image compression
- kernel methods
- compression algorithm
- compression ratio
- support vector
- kernel function
- sparse kernel
- feature space
- special case
- information retrieval
- compression rate
- component analysis
- feature extraction
- multiple kernel learning
- case study
- lossy compression
- image processing
- positive definite
- string kernels
- compressed data
- data sets
- partial least squares regression