This paper presents a novel approach for detection and tracking humans in water. Uniqueness of the tracked objects has been defined after analysis of standard color models. Based on the analysis results, YCbCr is proposed as the best color model for targeted application. Furthermore, relation of Cb and Cr components for different categories of targeted objects (object parts) were analyzed and u...

In this work we propose to use fuzzy prototypes for classification tasks. We create the prototypes by first clusterizing, separately, the available data for each class. Then we create a fuzzy set around each class center, according to clusterization indices that take into account both local and global data. We also investigate the use of an index to guide the process of obtaining a suitable num...

In this work we propose to use fuzzy prototypes for classification tasks. We create the prototypes by first clusterizing, separately, the available data for each class. Then we create a fuzzy set around each class center, according to clusterization indices that take into account both local and global data. We also investigate the use of an index to guide the process of obtaining a suitable num...

In this paper, the intelligent techniques are applied to enhance the quality control precision in the steel strip cold rolling production. Firstly a new control scheme is proposed, establishing the classifier of the steel strip cross-sectional 358 Ch. Tang, Sh. Wang, Y. Chen profiles is the core of the system. The fuzzy clustering algorithm is used to establish the classifier. Secondly, a novel...

Cloud computing has pioneered the emerging world by manifesting itself as a service through internet and facilitates third party infrastructure and applications. While customers have no visibility on how their data is stored on service provider's premises, it offers greater benefits in lowering infrastructure costs and delivering more flexibility and simplicity in managing private data. The opp...

A neuro-fuzzy-combiner (NFC) is proposed to design an efficient multiple classifier system (MCS) with an aim to have an effective solution scheme for difficult classification problems. Although, a number of combiners exist in the literature, they do not provide consistently good performance on different datasets. In this scenario: 1 we propose an effective multiple classifier system (MCS) based...

In this paper we are dealing with the construction of a fuzzy rule based classifier. A three-step method is proposed based on Lukasiewicz logic for the description of the rules and the fuzzy memberships to construct concise and highly comprehensible fuzzy rules. In our method, a genetic algorithm is applied to evolve the structure of the rules and then a gradient based optimization to fine tune...

1 Singh, S., Hines, E. L.and Gardner, J. W. "Classifier Systems Based on Possibility Distributions: A Comparative Study", Proc. 3rd International Conference on Artificial Neural Networks and Genetic Algorithms ICANNGA97, Norwich, UK, Wein: Springer, pp.537-540 (2-4 April, 1997) Abstract The main aim of this paper is three fold: a) to understand the working of a classifier system based on possib...

A novel scheme for developing, at low computational cost, neural-fuzzy classifiers based on large-scale, model-based exemplars is outlined. The new method extends the approach that Bezdek applied to train a neural net (NN) Sobel edge classifier by training the NN on the complete population of 3x3 binary image prototypes scored to fuzzy values by a classical operator. We first show that, replaci...

Pattern classification is one of the most important topics for machine learning research fields. However incomplete data appear frequently in real world problems and also show low learning rate in classification models. There have been many researches for handling such incomplete data, but most of the researches are focusing on training stages. In this paper, we proposed two classification meth...