Until now, the classification system of oral epithelial dysplasia is still based on the architectural and cytological changes, which relies on the observation of pathologists and is relatively subjective. The purpose of present research was to discriminate the oral dysplasia by the near-infrared Raman spectroscope, in order to evaluate the classification system. We collected Raman spectra of no...

In this paper, a new automatic language identification method using sparse representation on i-vectors in low-dimensional total variability space is proposed. It is mainly based on the recently proposed i-vector based language recognition systems. In our proposed method, an over-complete dictionary is first constructed by randomly sampling of the low-dimensional total variability space after Wi...

This paper presents a human identification system based on automatically extracted gait features. The proposed approach consists of three parts: extraction of human gait features from enhanced human silhouette, smoothing process on extracted gait features and classification by three classification techniques: fuzzy knearest neighbour, linear discriminate analysis and linear support vector machi...

Earlier studies have shown variation among experimental attempts to establish whether human monozygotic twins that are genetically identical also have identical individual scents. In none of the cases were the dogs able to distinguish all the individual scents of monozygotic twins living in the same environment if the scents were presented to them separately. Ten specially trained police German...

the main purpose of this paper is prediction of tse corporate financial bankruptcy using artificial neural networks. the mean values of key ratios reported in past bankruptcy studies were selected for neural network inputs (working capital to total assets, net income to total assets, total debt to total assets, current assets to current liabilities, quick assets to current liabilities). the neu...

It is suggested in this paper generating SOM as one that could be applied for forecasting of bankruptcy classes for other than trained companies. The various aspects of the proposed Neuro-discriminate model based on the multiple discriminate analysis, supervised learning neural network and self-organizing maps are analyzed. There is compared how accuracy of prediction changes executing algorith...