Learning Convolutional Neural Networks from Ordered Features of Generic Data.
Eric GolinkoThomas SondermanXingquan ZhuPublished in: ICMLA (2018)
Keyphrases
- data sets
- prior knowledge
- data structure
- data sources
- missing data
- learning systems
- synthetic data
- convolutional neural networks
- data analysis
- database
- raw data
- learning tasks
- data points
- learning algorithm
- high dimensional data
- training examples
- knowledge discovery
- learning process
- feature vectors
- spatial data
- missing values
- background knowledge
- data mining
- machine learning
- learning models
- online learning
- multiscale
- input data
- image data
- end users
- feature extraction
- low level
- training data
- association rules
- high quality