Complexity Analysis for Digital Hyperplane Recognition in Arbitrary Fixed Dimension.
Valentin E. BrimkovStefan S. DantchevPublished in: DGCI (2005)
Keyphrases
- hyperplane
- complexity analysis
- data points
- support vector
- training samples
- digital plane
- feature space
- linear classifiers
- lower bound
- theoretical analysis
- object recognition
- input space
- support vector machine
- incremental learning algorithm
- maximal margin
- kernel function
- computational complexity
- pattern recognition
- linearly separable
- first order logic
- classification procedure
- feature extraction
- support vectors
- normal vectors
- principal components
- convex hull
- linear separability
- svm classifier
- image classification
- neural network
- linearly independent
- high dimensional data
- high dimensional
- reinforcement learning
- decision trees
- image processing
- computer vision
- artificial intelligence