Some solution to the missing feature problem in data classification, with application to noise robust ASR.
Andrew C. MorrisMartin P. CookePhil D. GreenPublished in: ICASSP (1998)
Keyphrases
- missing data
- data sets
- training samples
- pattern recognition
- database
- noisy data
- data collection
- data processing
- data points
- feature vectors
- data quality
- incomplete data
- data structure
- high quality
- original data
- image noise
- missing values
- image data
- feature selection
- machine learning
- data reduction
- noisy environments
- random noise
- text classification
- input data
- knowledge discovery
- probability distribution
- data sources
- association rules
- preprocessing
- support vector
- decision trees
- data mining
- neural network