Abstract: Pattern recognition is about assigning objects (also called observations, instances or examples) to classes. The objects are described by features and represented as points in the feature space. A classifier is an algorithm that assigns a class label to any given point in the feature space. Pattern recognition comprises supervised learning (predefined class labels) and unsupervised le...

In this paper we are focusing on patterns and pattern classification. We are dealing how patterns from different domain can relate in solving more complex tasks. We try to design pattern classification reflecting pattern features. We assume that it can be very helpful in pattern searching. We assign classification attributes to patterns and use them to find pattern clusters. Each pattern cluste...

Texture can be observed in many natural and synthetic images from multispectral satellite images to the microscopic images of cell or tissue samples. Texture is an innate property of virtually all surfaces, the grain of wood, the weave of fabric, the pattern of crop in fields etc It contains important information about the structural arrangement of surfaces and their relationship to the surroun...

The aim of the project is to construct classifiers which should assign semantic patterns to six given verbs, as accurately as possible. Each verb has a set of usual usage patterns (based on the Pattern Dictionary of English Verbs), defined by its semantic and syntactic characteristics. It is assumed that if we are able to automatically assign these patterns, it will help us in the general probl...

Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic Energy features (HEs) for emotion recognition. These features extracted from the spectrogram ...

Pattern recognition systems are widely used in a host of different fields. Due to some reasons such as lack of knowledge about a method based on which the best classifier is detected for any arbitrary problem, and thanks to significant improvement in accuracy, researchers turn to ensemble methods in almost every task of pattern recognition. Classification as a major task in pattern recognition,...