Different pattern recognition techniques based on correlation operations are reviewed. The method is applied to conventional images and range images (with tridimensional information). The nonlinear correlations applied to bidimensional images are based on binary decompositions. We study the noise robustness when images are corrupted with substitutive Gaussian noise. Combining the correlation wi...

Several researchers have experimentally shown that substantial improvements can be obtained in diicult pattern recognition problems by combining or integrating the outputs of multiple classiiers. This paper provides an analytical framework to quantify the improvements in classiication results due to combining. The results apply to both linear combiners and the order statistics combiners introdu...

The success of the Internet has filled the net with lots of symbolic representations of music works. Two kinds of problems arise to the user: content-based search of music and the identification of similar works. Both belong to the pattern recognition domain. In contrast to most of the existing approaches, we pose a non-linear representation of a melody, based on trees that express the metric a...

many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

Principal Component Analysis (PCA) has been applied for the feature extraction of high-dimensional data in pattern recognition. However, PCA does can not extract nonlinear characteristics of the datadistribution appropriately. In order to solve this problem, we have proposed a method of nonlinear PCA (NLPCA) which preserves the order of the principal components and we have implemented the NLPCA...

Steel consumption is a critical factor affecting pricing decisions and a key element to achieve sustainable industrial development. Forecasting future trends of steel consumption based on analysis of nonlinear patterns using artificial intelligence (AI) techniques is the main purpose of this paper. Because there are several features affecting target variable which make the analysis of relations...

A topologically-simple Memristive-based Oscillatory Network showing a wide plethora of dynamical behaviors may be a good candidate for the realization of innovative oscillatory associative and dynamic memories for the recognition of spatial-temporal synchronization states. The design of such pattern recognition systems may not leave aside a preliminary thorough investigation of the nonlinear dy...