WSOM
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. The distribution of a class of objects, such as images depicting a specific topic, can be studied by observing the best-matching units (BMUs) of the objects’ feature v...
WSOM
2009
Springer
14 years 6 months ago
2009
Springer
Abstract. This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distance...
WSOM
2009
Springer
14 years 6 months ago
2009
Springer
This study proposes Network-Structured Particle Swarm Optimizer (NS-PSO) with various neighborhood topology. The proposed PSO has the various network topology as rectangular, hexag...
WSOM
2009
Springer
14 years 6 months ago
2009
Springer
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...
WSOM
2009
Springer
14 years 6 months ago
2009
Springer
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
WSOM
2009
Springer
14 years 6 months ago
2009
Springer
Abstract. We show how the “Online Sparse Coding Neural Gas” algorithm can be applied to a more realistic model of the “Cocktail Party Problem”. We consider a setting where ...
WSOM
2009
Springer
14 years 6 months ago
2009
Springer
In our earlier work, we found that feature space induced by tactile receptive fields (TRFs) are better than that by visual receptive fields (VRFs) in texture boundary detection t...
WSOM
2009
Springer
14 years 6 months ago
2009
Springer
WSOM
2009
Springer
14 years 6 months ago
2009
Springer
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...
WSOM
2009
Springer
14 years 6 months ago
2009
Springer
Abstract. This paper presents a new methodology for missing value imputation in a database. The methodology combines the outputs of several Self-Organizing Maps in order to obtain ...