Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning.

Michel Crucianu Daniel Estevez Vincent Oria Jean-Philippe Tarel

Published in: BDA (2007)

Keyphrases

hyperplane
feature space
active learning
input space
training samples
data points
kernel function
query processing
kernel space
linear classifiers
range queries
feature vectors

linear separability
similarity search
support vector machine
linearly separable
maximal margin
decision boundary
separating hyperplane
support vector
training set
similarity queries
incremental learning algorithm
feature selection

index structure
r tree
high dimensional
feature extraction
convex hull
database
metric space
neural network
multi dimensional
semi supervised
low dimensional

dimensionality reduction
supervised learning
relevance feedback
learning process
principal components
training examples
input data
feature set
nearest neighbor search
image retrieval
decision trees