Image fusion is important technique used in Remote Sensing application. It plays a very important role in Satellite based communication. Here, introduces a new technique fusion followed by filtering for remove impulse noise in remote sensing images. The Non-Linear filtering algorithms, Vector Median Filter (VMF), Rank Conditioned VMF, Rank Conditioned and Threshold VMF, Center Weighted VMF and ...

We propose an approach for real-time sentiment-based anomaly detection (RSAD) in Twitter data streams. Sentiment classification is used to split the data into independent streams (positive, neutral, and negative), which are then analyzed for anomalous spikes in the number of tweets. Four approaches for evaluating the data streams are studied, along with the parameters that adjust their sensitiv...

For the problem of selecting p items with uncertain (interval) objective function coefficients so as to maximize total profit (maximization over uniform matroid) we introduce the r-restricted robust deviation criterion or the r-robust solution for short. We seek solutions that minimize the r-restricted robust deviation. This new criterion increases the modeling power of the robust deviation (mi...

BACKGROUND A commercially available pulse oximeter that reports blood haemoglobin (Hb) concentration is evaluated. This study considers whether this device can provide serial Hb data that would be sufficiently reliable for volume kinetic analysis of infusion fluids. METHODS Forty infusions of 5 or 10 ml/kg of acetated Ringer's solution were given over 15 min in 10 healthy volunteers. Hb was m...

In this paper, some characterizations of median and quasi-median graphs are extended to general isometric subgraphs of Cartesian products using the concept of an imprint function as introduced by Tardif. This extends the well-known concepts of medians in median graphs as well as imprints in quasi-median graphs. We introduce absolute C-median graphs in analogy to absolute retracts, and derive a ...

Censored median regression has proved useful for analyzing survival data in complicated situations, say, when the variance is heteroscedastic or the data contain outliers. In this paper, we study the sparse estimation for censored median regression models, which is an important problem for high dimensional survival data analysis. In particular, a new procedure is proposed to minimize an inverse...

Microaggregation for Statistical Disclosure Control (SDC) is a family of methods to protect microdata from individual identification. SDC seeks to protect microdata in such a way that can be published and mined without providing any private information that can be linked to specific individuals. The aim of SDC is to modify the original microdata in such a way that the modified data and the orig...

Diagnostic imaging is invaluable. Magnetic Resonance Imaging (MRI), digital mammography, Computed Tomography (CT), and others ensure effective noninvasive mapping of a subject’s anatomy, and increased normal and diseased anatomy knowledge for medical research in addition to being a critical component in diagnosis and treatment. In this work various feature selection algorithms are investigated ...

In the context of dense stereo matching of pixels, we study the combination of different correlation measures. Considering the previous work about correlation measures, we use some measures that are the most significant in five kinds of measures based on: cross-correlation, classic statistics, image derivatives, nonparametric statistics and robust statistics. More precisely, this study validate...