Previously, we proposed an approach for corporate decision making with self-organizing patent maps labeled by technical terms and AHP. First, we extracted keywords by text mining to transform patent documents into feature vectors of the companies. Second, we inputted the feature matrix of technical terms and company names into self-organizing maps to create patent maps labeled by the technical ...

We present a method for clustering the speakers from unlabeled and unsegmented conversation (with known number of speakers), when no a priori knowledge about the identity of the participants is given. Each speaker was modeled by a self-organizing map (SOM). The SOMs were randomly initiated. An iterative algorithm allows the data move from one model to another and adjust the SOMs. The restrictio...

| We present a system for automatic mapping of complex gray-scale images onto each other. The system includes a Neocognitron-like structure for hierarchical feature extraction, a 3D Self Organising Map to determine feature classes for unsupervised training, and algorithmic methods for landmark correspondence and image warping. We present results showing successful registration of MRI brain scan...

Some mature findings in person recognition research restrict their use cases for dealing with near frontal face poses under controlled environments conditions. Such special pose and environment conditions can be accepted if imposed as a requirement for security applications, but they are not reasonable constraints when dealing with personal collections. In this paper a person recognition approa...

In this paper we address the issue of recognizing Farsi handwritten words. Two types of gradient features are extracted from a sliding vertical stripe which sweeps across a word image. These are directional and intensity gradient features. The feature vector extracted from each stripe is then coded using the Self Organizing Map (SOM). In this method each word is modeled using the discrete Hidde...

The self-organizing feature maps developed by Kohonen appear to capture some of the advantages of the natural systems on which they are based. A summary of the operation of this form of artificial neural network is presented. It was concluded that the primary benefits of using self-organizing feature maps result from their adaptability and plasticity while most problems are largely caused by th...

Solid lubricated bearings are common components in space mechanisms, and their reliability and performance degradation assessment are very crucial. In this study, a fuzzy self-organizing map method is used to perform performance degradation assessment. Feature vectors are constructed by indices of vibration as well as friction torque signal. Self-organizing map is then used to perform performan...

It is often reported in the technique literature that the success of the self-organizing feature map formation is critically dependent on the initial weights and the selection of main parameters (i.e. the learning-rate parameter and the neighborhood set) of the algorithm. They usually have to be counteracted by the trial-and-error method; therefore, often time consuming retraining procedures ha...

The purpose of the study was to find out whether the conceptual connection of emotion and motion is holding in the domain of personality traits. In a quantitative study 40 Estonian terms of personality traits were investigated and a conclusion was driven that, indeed, the qualities of emotionality and motion are perceived as co-present characteristics. In further data analysis some visualized m...