This paper proposes a new approach for relevance feedback in content-based image retrieval systems. The proposed approaches combined the classical Rocchio relevance feedback with the Feature Relevance Estimation method. As such, according to the relevance feedback provided by the user, the algorithm performs a simultaneous query modification and a assignment of weights to all the components of ...

most geologic changes have a seismic response but sometimes this is expressed only in certain spectral ranges hidden within the broadband data. spectral decomposition is one of the methods which can be utilized to help interpreting such cases. there are several time-frequency methods including: short-time fourier transform (stft), continuous wavelet transform (cwt), wigner-ville distribution (w...

this paper presents a new optimization algorithm to design an optimal proportional, integral, derivative (pid) controller in hydro-turbine generator governor for damping output frequency oscillations. in this research, we utilize a stochastic and optimal based pid controller to control frequency-response of the hydro turbine. the proposed algorithm is employed to design an optimal pid controlle...

An effective XML cluster method called neighbor center clustering algorithm (NCC) is presented in this paper, whose similarity is obtained through both structural and content information contained in XML files. Structural similarity is firstly measured by frequency-path model and its similarity calculation algorithm with position and frequency weight by longest common subsequence is introduced....

In most practical applications, for the sake of information integrity not only it is useful to detect whether a multimedia content has been modified or not, but also to identify which kind of attack has been carried out. In the case of audio streams, for example, it may be useful to localize the tamper in the time and/or frequency domain. In this paper we devise a hash-based tampering detection...

This paper proposes a watermarking algorithm based on correlation to authenticate image content. The original image is converted to YIQ space first, then subdivided into 8× 8 non-overlapping blocks. DCT transform is executed on each block. The watermark sequence is derived from certain low frequency coefficients. It is hided into the middle frequency DCT coefficients of another pseudo-randomly ...

in this paper, an effective and simple numerical method is proposed for solving systems of integral equations using radial basis functions (rbfs). we present an algorithm based on interpolation by radial basis functions including multiquadratics (mqs), using legendre-gauss-lobatto nodes and weights. also a theorem is proved for convergence of the algorithm. some numerical examples are presented...

This paper describes content-based image retrieval techniques within the relevance feedback framework. The Gaussian mixture model (GMM) is used to characterize sub-class information to increase retrieval accuracy and reduce number of interactions during a query session. The implementation of GMM is based on the radial basis function using a new learning algorithm that can cope with small traini...

In this paper we propose a method based on compressed sensing (CS) for estimating the spectrum of a signal written as a linear combination of a small number of sinusoids. In the case of finite-length signals, the Fourier coefficients are not exactly sparse due to the leakage effect if the frequency is not a multiple of the fundamental frequency; To overcome this problem our algorithm transform ...

Recently, the authors introduced the concept of the socalled Local Discriminant Basis (LDB) for signal and image classification problems [6], [17, Chap. 4], [19], [20]. This method first decomposes available training signals in a time-frequency dictionary (also known as a dictionary of orthonormal bases ) which is a large collection of the basis functions (such as wavelet packets and local trig...