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» Measuring empirical computational complexity
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WACV
2007
IEEE
15 years 11 months ago
Motion Estimation Using a General Purpose Neural Network Simulator for Visual Attention
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...
Florentin Dorian Vintila, John K. Tsotsos
ESANN
2003
15 years 6 months ago
The hypersphere neuron
In this paper a special higher order neuron, the hypersphere neuron, is introduced. By embedding Euclidean space in a conformal space, hyperspheres can be expressed as vectors. The...
Vladimir Banarer, Christian Perwass, Gerald Sommer
AAAI
1998
15 years 6 months ago
Which Search Problems Are Random?
The typical difficulty of various NP-hard problems varies with simple parameters describing their structure. This behavior is largely independent of the search algorithm, but depe...
Tad Hogg
SOFTVIS
2010
ACM
15 years 5 months ago
3D kiviat diagrams for the interactive analysis of software metric trends
Previous techniques for visualizing time-series of multivariate data mostly plot the time along additional axes, are often complex, and does not support intuitive interaction. In ...
Andreas Kerren, Ilir Jusufi
157
Voted
CORR
2008
Springer
118views Education» more  CORR 2008»
15 years 5 months ago
Quantifying Homology Classes
We develop a method for measuring homology classes. This involves three problems. First, we define the size of a homology class, using ideas from relative homology. Second, we defi...
Chao Chen, Daniel Freedman