We consider the problem of high-dimensional Ising (graphical) model selection. We propose a simple algorithm for structure estimation based on the thresholding of the empirical conditional variation distances. We introduce a novel criterion for tractable graph families, where this method is efficient, based on the presence of sparse local separators between node pairs in the underlying graph. F...

In recent years, the dynamic behavior of solid structure defects is extremely important as a small defect that is growing may well be more significant than a larger stable defect. Acoustic Emission (AE) is the method used to investigate the behavior of defects under stress. The importance of the AE is to determine the source location when it occurs. It is a real time monitoring technique. Ident...

This paper presents an algorithm which aims to assist the radiologist in identifying breast cancer at its earlier stages. It combines several image processing techniques like image negative, thresholding and segmentation techniques for detection of tumor in mammograms. The algorithm is verified by using mammograms from Mammographic Image Analysis Society. The results obtained by applying these ...

In this paper, we present a new dereverberation algorithm called Temporal Masking and Thresholding (TMT) to enhance the temporal spectra of spectral features for robust speech recognition in reverberant environments. This algorithm is motivated by the precedence effect and temporal masking of human auditory perception. This work is an improvement of our previous dereverberation work called Supp...

In this paper, we propose two algorithms, namely extrapolated proximal iterative hard thresholding (EPIHT) algorithm and EPIHT algorithm with line-search (EPIHT-LS), for solving `0 norm regularized wavelet frame balanced approach for image restoration. Under the theoretical framework of KurdykaLojasiewicz property, we show that the sequences generated by the two algorithms converge to a local m...

We consider the problem of high-dimensional Ising (graphical) model selection. We propose a simple algorithm for structure estimation based on the thresholding of the empirical conditional variation distances. We introduce a novel criterion for tractable graph families, where this method is efficient, based on the presence of sparse local separators between node pairs in the underlying graph. F...

One of the most crucial aspects image segmentation is multilevel thresholding. However, thresholding becomes increasingly more computationally complex as number thresholds grows. In order to address this defect, paper proposes a new approach based on Evolutionary Arithmetic Optimization Algorithm (AOA). The arithmetic operators in science were inspiration for AOA. DAOA proposed approach, which ...

We propose a novel technique for robust voiced/unvoiced segment detection in noisy speech, based on local polynomial regression. The local polynomial model is well-suited for voiced segments in speech. The unvoiced segments are noise-like and do not exhibit any smooth structure. This property of smoothness is used for devising a new metric called the variance ratio metric, which, after threshol...

purpose : to offer a semi-automatic algorithm to determine the area of angiographic hyperfluorescence methods : the proposed algorithm included wavelet filter, histogram equalization and modified otsu thresholding. hyperfluorescent area of 30 angiographic images obtained from patients with leaking choroidal neovascularization (cnv) and diabetic retinopathy were evaluated and the results were co...

In the process of material composition detection, image analysis is an inevitable problem. Multilevel thresholding based on the OTSU method is one of the most popular image segmentation techniques. The increase of the number of thresholds increases with the exponential increase in computing time. In order to overcome this problem, this paper proposes an artificial bee colony algorithm with a tw...