Robust Principal Component Analysis (RPCA) is a technique to decompose signals into sparse and low rank components, and has recently drawn the attention of the MIR field for the problem of separating leading vocals from accompaniment, with appealing results obtained on small excerpts of music. However, the performance of the method drops when processing entire music tracks. We present an adapti...

The common task in matrix completion (MC) and robust principle component analysis (RPCA) is to recover a low-rank matrix from a given data matrix. These problems gained great attention from various areas in applied sciences recently, especially after the publication of the pioneering works of Candès et al.. One fundamental result in MC and RPCA is that nuclear norm based convex optimizations le...

We consider principal component analysis for contaminated data-set in the high dimensional regime, where the dimensionality of each observation is comparable or even more than the number of observations. We propose a deterministic high-dimensional robust PCA algorithm which inherits all theoretical properties of its randomized counterpart, i.e., it is tractable, robust to contaminated points, e...

In this paper, the optimizations problems to seek robust solutions under uncertainty are considered. The light robust approach is one of the strong and new methods to achieve robust solutions under conditions of uncertainty. In this paper, we tried to improve the quality of the solutions obtained from the Light Robust method by introducing a revised approach. Considering the problem concerned, ...

objective: the aim of this study is to explore the confirmatory factor analysis results of the persian adaptation of statistics anxiety measure (sam), proposed by earp. method: the validity and reliability assessments of the scale were performed on 298 college students chosen randomly from tabriz university in iran. confirmatory factor analysis (cfa) was carried out to determine the factor stru...

designing breeding programs for winter rapeseed (brassica napus l.) cultivars with improved seed and oil yields requires information about the genetic variability of traits. in this study, 28 winter rapeseed cultivars were evaluated for genetic variation and relationships between 11 agro-morphological characters during 2010 and 2011. cultivars and cultivar × year interaction showed significant ...

this study concerns determining the factors that may influence the communication skill of those university teachers involved in the field of agricultural sciences in iran. accordingly, based on a cross-sectional survey method, a conceptual model of communication skill has been devised through reviewing the related literature. next, the model was revised by the expert panel of the study into a s...

during ramadan fasting quantity and quality of dietary intake may change. there was no data on nutrient patterns in ramadan fasting. the purpose of this study was to identify ramadan major nutrient patterns among those who fast in tehran, iran. 510 fasting people aged 18-65 years and bmi 18.5-40 kg/m2 were recruited in our study by 2-stage cluster sampling method in june-july 2014. data on the ...

background and objectives: spiritual intelligence makes a major contribution to people’s health and well-being. since religion is considered as an enriched context for muslim communities, which can provide them with spiritual experiences, the aim of this study was to develop and validate a questionnaire in order to assess spiritual intelligence among people in these communities. methods: in thi...