Information-theoretic metric learning: 2-D linear projections of neural data for visualization.
Austin J. BrockmeierLuis Gonzalo Sánchez GiraldoMatthew S. EmighJihye BaeJohn S. ChoiJoseph T. FrancisJosé C. PríncipePublished in: EMBC (2013)
Keyphrases
- information theoretic
- data sets
- metric learning
- data analysis
- information theoretic measures
- neural network
- information theory
- high dimensional data
- mutual information
- data points
- pattern recognition
- semi supervised
- supervised learning
- dimensionality reduction
- high dimensional
- distance metric
- e learning
- computer vision
- learning algorithm
- distance metric learning
- information bottleneck
- machine learning