Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning.
Antonio CriminisiJamie ShottonEnder KonukogluPublished in: Found. Trends Comput. Graph. Vis. (2012)
Keyphrases
- density estimation
- semi supervised learning
- manifold learning
- semi supervised
- supervised learning
- unlabeled data
- unsupervised learning
- mixture model
- labeled data
- labeled and unlabeled data
- machine learning
- active learning
- low dimensional
- dimension reduction
- dimensionality reduction
- reproducing kernel hilbert space
- high dimensional
- probability density function
- model selection
- feature space
- support vector
- pairwise
- class labels
- svm classifier
- classification accuracy
- feature extraction
- decision trees
- gaussian mixture model
- pattern recognition
- support vector machine
- high dimensional data
- expectation maximization
- benchmark datasets
- generative model
- training set
- training data
- similarity measure
- computer vision