Scale-space measures for graph topology link protein network architecture to function.
Marc HulsmanChristos DimitrakopoulosJeroen de RidderPublished in: Bioinform. (2014)
Keyphrases
- scale space
- network architecture
- primal sketch
- multiscale
- artificial neural
- critical points
- scale spaces
- neural network
- gaussian scale space
- image analysis
- image structure
- multiple scales
- image features
- feature detection
- scale invariant
- heat kernel
- neural network model
- multiscale representation
- deep structure
- methods in computer vision
- vector valued
- gaussian kernel
- scale selection
- scale space analysis
- scale parameter
- weighted graph
- automatic scale selection
- keypoints
- linear scale space
- planar curves
- saddle points
- morphological scale space
- singular points
- morse theory
- partial derivatives
- scale space theory
- differential operators
- gaussian derivatives
- graph structure
- artificial neural networks
- feature extraction