introduction: content based image retrieval (cbir) is a method of image searching and retrieval in a  database. in medical applications, cbir is a tool used by physicians to compare the previous and current  medical images associated with patients pathological conditions. as the volume of pictorial information  stored in medical image databases is in progress, efficient image indexing and retri...

This article examines the relationship between partisanship and cities’ approaches to climate policy. Do partisan patterns at the local level match patterns at the national level? Whose partisanship matters: that of elected officials, citizens, or other actors? Previous research indicates that constraints created by the federal system dampen the effects of partisanship on many local policies. G...

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 ...

augmented downhill simplex method (adsm) is introduced here, that is a heuristic combination of downhill simplex method (dsm) with random search algorithm. in fact, dsm is an interpretable nonlinear local optimization method. however, it is a local exploitation algorithm; so, it can be trapped in a local minimum. in contrast, random search is a global exploration, but less efficient. here, rand...

potential fields are due to complex distribution of sources related to susceptibility and mass density variations for magnetic and gravity field respectively. in researching the lateral heterogeneous of different geological bodies, in particular their edge location potential field has some advantages. we mainly refer to linear features such as fault, folding axis, dyke, trend and border of the ...

We investigate the potential of applying a state-of-the-art, local derivative-free solver, Py-BOBYQA to global optimization problems. In particular, we demonstrate restarts procedure – as distinct from multistart methods allow escape minima (where ordinarily it would terminate at first minimum found). also introduce an adaptive variant which yields improved performance on As is model-based trus...

Augmented Downhill Simplex Method (ADSM) is introduced here, that is a heuristic combination of Downhill Simplex Method (DSM) with Random Search algorithm. In fact, DSM is an interpretable nonlinear local optimization method. However, it is a local exploitation algorithm; so, it can be trapped in a local minimum. In contrast, random search is a global exploration, but less efficient. Here, rand...

Automatic face recognition remains an interesting but challenging computer vision open problem. Poor illumination is considered as one of the major issue, since illumination changes cause large variation in the facial features. To resolve this, illumination normalization preprocessing techniques are employed in this paper to enhance the face recognition rate. The methods such as Histogram Equal...