We use the n-grams descriptors for a protein classification task. As they are automatically generated, we obtain many irrelevant and/or redundant descriptors. In this paper, we evaluate various strategies of feature selection and feature reduction. First, we evaluate separately the efficiency of a filtering feature selection algorithm and a feature reduction on the basis of a singular value dec...

the selective reduction of oximes with sodium borohydride (nabh4) in the presence of nano cu and charcoal was investigated. cu nanoparticles are widely used as catalysts; efficacious catalyst: copper and copper alloy nanometer feature high efficacy and selectivity, and can be used as catalyst in some reactions. we have shown that nabh4 in the presence of charcoal is an efficient protocol for th...

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 ...

Evolution equations have proven to be useful in tracking fine to coarse features in a single level curve and/or in an image. In this paper, we give a stochastic insight to a specific evolution equation, namely the geometric heat equation, and subsequently use this insight to develop a class of featuredriven diffusions. A progressive smoothing along desired features of a level curve is aimed at ...

When data objects that are the subject of analysis using machine learning techniques are described by a large number of features (i.e. the data is high dimension) it is often beneficial to reduce the dimension of the data. Dimension reduction can be beneficial not only for reasons of computational efficiency but also because it can improve the accuracy of the analysis. The set of techniques tha...

This paper is a brief survey of the current state of the technology used in supporting eecient content-based retrieval in index-based multimedia databases that use feature vectors to represent the multimedia data. One of the main obstacles in performing eecient content-based multimedia retrieval is the high-dimensionality of the feature vectors used to characterise the data. Previous surveys on...