Informativeness of Degraded Data in Training a Classification System.
Nancy RonquilloJosh HarguessPublished in: AIPR (2017)
Keyphrases
- training samples
- data processing
- data sets
- supervised learning
- training data
- high quality
- data collection
- neural network
- knowledge discovery
- image data
- data analysis
- text classification
- classification accuracy
- high dimensional data
- raw data
- training dataset
- statistical analysis
- database
- data mining techniques
- prior knowledge
- training set
- feature space
- preprocessing
- data mining
- feature selection
- machine learning
- spatial data
- sufficient training data
- training phase
- pattern classification
- data quality
- original data
- missing values
- classification method
- small number
- support vector machine svm
- data structure
- image classification