classical lbp such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. in this paper, we introduce an improved lbp algorithm to solve these problems that utilizes fast pca algorithm for reduction of vector dimensions of extracted features. in other words, proffer method (fast pca+lbp) is an improved lbp algorithm that is extracted ...

biomedical datasets usually include a large number of features relative to the number of samples. however, some data dimensions may be less relevant or even irrelevant to the output class. selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. to this end, this paper presents a hybrid method of filter and wr...

estimation of the metal value in the metallic deposits is one of the important factors to evaluate the deposits in exploration studies andmineral processing. therefore, one accurate estimator is essential to obtain a fine insight into the accumulation of the ore body. thereare geostatistical methods for the estimation of the concentration of iron which performance of these models is complexity ...

acute myelogenous leukemia (aml) is a subtype of acute leukemia, which is characterized by the accumulation of myeloid blastsin the bone marrow. careful microscopic examination of stained blood smear or bone marrow aspirate is still the most significantdiagnostic methodology for initial aml screening and considered as the first step toward diagnosis. it is time-consuming and dueto the elusive n...

t his paper presents a new feature selection approach for automatically extracting   ms lesions in 3d mr images. presented method is applicable to different types of ms lesions. in this method, t1, t2 and flair images are firstly preprocessed. in the next phase, effective features to extract ms lesions are selected by using a genetic algorithm. the fitness function of the genetic algorithm is t...

random number generation is one of the human abilities. it is proven that the sequence of random numbers generated by people do not follow full randomness criteria. these numbers produced by brain activity seem to be completely non stationary. in this paper, we show that there is a distinction between the random numbers generated by different people who provides the discrimination capability, a...

A method based on one class support vector machine (OCSVM) is proposed for class incremental learning. Several OCSVM models divide the input space into several parts. Then, the 1VS1 classifiers are constructed for the confuse part by using the support vectors. During the class incremental learning process, the OCSVM of the new class is trained at first. Then the support vectors of the old class...

This paper introduces the Graph Embedded One-Class Support Vector Machine and Graph Embedded Support Vector Data Description methods. These methods constitute novel extensions of the One-Class Support Vectors Machines and Support Vector Data Description, incorporating generic graph structures that express geometric data relationships of interest in their optimization process. Local or global re...