Visualisation and Exploration of High-Dimensional Distributional Features in Lexical Semantic Classification.
Maximilian KöperMelanie ZaißQi HanSteffen KochSabine Schulte im WaldePublished in: LREC (2016)
Keyphrases
- feature space
- high dimensional
- classification accuracy
- high dimensionality
- feature set
- feature extraction
- feature vectors
- classification models
- svm classifier
- classification method
- extracted features
- feature analysis
- classification process
- benchmark datasets
- gender classification
- co occurrence
- low level
- support vector
- feature construction
- class labels
- extracting features
- pattern recognition
- decision trees
- feature selection
- pattern classification
- classification scheme
- image classification
- image features
- machine learning
- highly discriminative
- text classification
- support vector machine svm
- irrelevant features
- textural features
- dimension reduction
- nearest neighbor
- high dimensional data
- support vector machine
- feature values
- discriminative features
- kernel principal component analysis
- high dimensional feature spaces
- feature weights
- decision tree classifiers
- data sets
- classification algorithm
- cross validation
- similarity search
- dimensionality reduction
- active learning
- training set
- object recognition
- training data