SSPR
2004
Springer
14 years 4 months ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Model-based image recognition requires a general model of the object that should be detected in an image. In many applications such models are not known a-priori instead of they mu...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR). One challenging task within this area is the auto...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Several clustering algorithms equipped with pairwise hard constraints between data points are known to improve the accuracy of clustering solutions. We develop a new clustering alg...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Many attempts have been made to represent families of 2D shapes in a simpler way. These approaches lead to so-called structures as the Symmetry Set (SS) and a subset of it, the Med...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
The creation of a cognitive perception systems capable of inferring higher-level semantic information from low-level feature and event information for a given type of multimedia co...