13 search results - page 2 / 3 » Automatically Tuning Background Subtraction Parameters using... |
PRL
2008
13 years 4 months ago
2008
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
JGO
2010
13 years 3 months ago
2010
A new and universal penalty method is introduced in this contribution. It is especially intended to be applied in stochastic metaheuristics like genetic algorithms, particle swarm...
WSCG
2003
13 years 6 months ago
2003
Visual surveillance and monitoring have aroused interest in the computer video community for many years. The main task of these applications is to identify (and track) moving targ...
ECML
2006
Springer
13 years 9 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
BMCBI
2008
13 years 5 months ago
2008
Background: We propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of b...