This paper presents a new framework called fuzzy relevance feedback in interactive content−based image retrieval (CBIR) systems based on soft−decision. An efficient learning approach is proposed using a fuzzy radial basis function network (FRBFN). Conventional binary labeling schemes require a crisp decision to be made on the relevance of the retrieved images. However, user interpretation varie...

dielectric properties of agricultural products is one of the most important physical properties of agricultural and food products and these properties are used heavily in developing as new technology for use in agriculture and related industries. therefore, in this study investigated the changes in the dielectric properties of pazhohesh and ghaem varieties of paddy as a dielectric material four...

It is commonly known that wavelet expansions are very sensitive to translation of an input signal due to their dyadic structure. Without proper time alignment of the signal to the decomposition basis vectors, a compact expansion may be unattainable. Recently, work has been done to combat translation sensitivity by determining the best translation-invariant expansion of a signal with respect to ...

This paper presents an innovative method to mitigate ionosphere delay error for single frequency receivers. Traditional approach to ionosphere delay correction is carried out through modeling the total electron content (TEC) along each satellite signal path. Because of the large deviation of the TEC during different times of the day, season, and solar cycle from any mean measurements, the ionos...

The purpose of this paper is to show how fundamental results from variational approximation theory can be exploited to design recurrent associative memory networks. We begin by stating the problem of learning a set of given patterns to an associative memory network as a hypersurface construction problem, then we show that the associated approximation problem is well posed. Characterizing and de...

This paper introduces a short-term and long-term learning approach for Content-Based Image Retrieval with relevance feedback. The proposed system combines Radial Basis Function (RBF) network and the Semantic Space methods. The RBF Subsystem captures the non-linear relationship between the low-level features and the semantic meaning within an image, while the Semantic Space Subsystem stores sema...

In deep water, the dominant sources of natural ocean noise are often events occurring at the sea/air interface. In shallow water, particularly if it is warm, this is often no longer the case. Where wind-related noise is less pronounced, snapping shrimp alone can easily dominate the soundscape over two decades of bandwidth. Particularly for ambient noise imaging, the high frequency content of th...

Traditional filtering methods operate on the entire signal or image. In some applications, however, errors are concentrated in specific regions or features. A prime example is images generated using computed tomography. Practical implementations limit the amount of high frequency content in the reconstructed image, and consequently, edges are blurred. We introduce a new post-reconstruction edge...