SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Off-line handwritten numeral recognition is a very difficult task. It is hard to achieve high recognition results using a single set of features and a single classifier, since hand...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. We investigate a number of approaches to pose invariant face recognition. Basically, the methods involve three sequential functions for capturing nonlinear manifolds of f...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specificall...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. Statistical analysis of spatially uniform signal contexts allows Discrete Universal Denoiser (DUDE) to effectively correct signal errors caused by a discrete symmetric me...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
We present a probabilistic graphical model for point set matching. By using a result about the redundancy of the pairwise distances in a point set, we represent the binary relation...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
In this paper we present a symbols recognition system for graphic documents, based on a combination of global structural approaches. Our system allows to extract components and the...