55 search results - page 1 / 11 » Accurate and Efficient Approximation of the Continuous Gauss... |
DAGM
2004
Springer
13 years 8 months ago
2004
Springer
Abstract. The Gaussian scale-space is a standard tool in image analysis. While continuous in theory, it is generally realized with fixed regular grids in practice. This prevents th...
PAMI
1998
13 years 4 months ago
1998
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
SCALESPACE
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. Gaussian convolutions are perhaps the most often used image operators in low-level computer vision tasks. Surprisingly though, there are precious few articles that descri...
UAI
2001
13 years 6 months ago
2001
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...