The proper usage and creation of transfer functions for time-varying data sets is an often ignored problem in volume visualization. Although methods and guidelines exist for time-i...
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
Manual opacity transfer function editing for volume rendering can be a difficult and counter-intuitive process. This paper proposes a logarithmically scaled editor, and argues tha...
The objective of this contribution is to analyze statistical properties of estimated models of cascade systems. Models of such systems are important in for example cascade control ...
This paper considers z-domain transfer functions whose denominator polynomial possesses the property that the coefficient of zi is greater than the coefficient of zi-1 . Such trans...
Christian S. Gargour, Venkat Ramachandran, Ravi P....
This paper presents a novel approach to assist the user in exploring appropriate transfer functions for the visualization of volumetric datasets. The search for a transfer functio...
Taosong He, Lichan Hong, Arie E. Kaufman, Hanspete...
CAD tools and research in the area of reduced-order modeling of largelinearinterconnect networkshaveevolved from merely finding a Pad´e approximation for the given network trans...
One common problem in the practical application of volume visualization is the proper choice of transfer functions in order to color different parts of the volume meaningfully. Th...
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
We describe a method for volume rendering using a spectral representation of colour instead of the traditional RGB model. It is shown how to use this framework for a novel explora...