High-Rate Vector Quantization for the Neyman-Pearson Detection of Correlated Processes.
Joffrey VillardPascal BianchiPublished in: IEEE Trans. Inf. Theory (2011)
Keyphrases
- vector quantization
- high rate
- neyman pearson
- false alarms
- low rate
- image compression
- vector quantizer
- distortion measure
- reduced complexity
- detection rate
- input vector
- fractal image compression
- neural network
- type ii
- successive approximation
- false positives
- false negative
- codebook design
- neural gas
- image processing
- detection algorithm
- multi class
- false positive rate
- object detection
- support vector machine
- finite state vector quantization