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Not all instances in a data set are equally beneficial for inducing a model of the data. Some instances (such as outliers or noise) can be detrimental. However, at least initially, the instances in a data set are generally considered equally in machine learning algorithms. Many current approaches for handling noisy and detrimental instances make a binary decision about whether an instance is detrimental...
In recent years Location-Based Information Systems have increased its popularity in the market of mobile applications, however, due to the ability of smartphones and similar devices to estimate location in real time using GPS or through network providers; it is critical to implement techniques to protect such sensitive information while still make it available to the service provider. This paper presents...
In this paper, we propose an improved median filtering algorithm by adding filtration function before replacing the value of the median position with the median and doing multiple processing of median filtering to overcome the shortcoming of the traditional Median Filtering Algorithm. Experimental results are shown that an image after processed by the improved algorithm is hard to find image noise,...
In this paper, a new two levels propagated neighborhoods based collaborative filtering method (PNCF) is proposed for developing effective and efficient recommendation system. Traditional collaborative filtering (CF) algorithms focus on construct k-nearest neighborhood for each item/user from user-item purchase/rating matrix, such as item-based k-nearest-neighbor collaborative filtering method (itemKNN)...
In this paper we propose the use of Support Vector Machine classifiers (SVM) and linear discriminant analysis (LDA) to determine the existence of magnetic flux leakage (MFL) in non-destructive testing (NDT for its acronym in English) performed on ferromagnetic sheets. These signals were provided by the Corporation for Research in Corrosion (CIC) and were acquired on a dyno. The signals are preprocessed...
The procedure of data processing in landmarks navigation system is designed. The algorithm of unmanned aerial vehicles location coordinates determination is developed.
The algorithms of the synthesis of optimal structures and parameters of the matrix of transfer functions of the filter which enables to assess the vector of useful signals with the noise correction as well as without it according to the data on sensor dynamics, electromagnetic interference characteristics and vector characteristics of the measured signals were developed.
The palmprint recognition has become a focus in biological recognition and image processing fields. In this process, the features extraction (with particular attention to palmprint principal line extraction) is especially important. Although a lot of work has been reported, the representation of palmprint is still an open issue. In this paper we propose a simple, efficient, and accurate palmprint...
This paper presents an educational experiment designed for enabling students to interact with a domain of great interest — leakage detection and monitoring. Students will create LabVIEW/MATLAB programs and will use already existing applications in order to get familiar with signal processing concepts like Cross Correlation, Time Delay Estimation and Signal Whitening. Their activity is supported by...
In this paper, a linear unbiased minimum-variance filtering problem is considered for a class of systems with randomly multi-step sensor delays. A new mathematical model is established for the multi-step sensor delays. Different from the augmented method for dealing with delayed systems, a linear unbiased minimum-variance filter design method is proposed without augmenting the state vector, which...
Depth maps generated by Kinect cameras often contain a significant amount of missing pixels and strong noise, limiting their usability in many computer vision applications. In this paper we present an efficient hole filling and damaged region restoration method that improves the quality of the depth maps obtained with the Microsoft Kinect device. The proposed approach based on a modified exemplar-based...
It is difficult for standard independent component analysis (ICA) algorithm to extract signals in noise condition. The main contribution of this paper is to apply Rao-Blackwellized particle filter and smoother to noisy ICA model. The proposed method is presented as a two-stage approach. Firstly, noisy signal is modeled by time-varying autoregressive (TVAR) process, and estimated noise-free signal...
This paper describes various measures that have been taken to ensure Electromagnetic Compliance of Man Machine Interface Computer used in Fire Control Radar System as per MIL-STD-461E. It covers evaluation and reduction of radiated emission from the unit under test. Even with basic design techniques in place non-conformance to the standard were observed. The potential sources of Electromagnetic Interference...
This paper presents a novel neural network based patch reordering approach for image denoising and expression. This technique is grounded on estimating the correct location of the patch pixels corrupted by noise using neural network and median filter. The presented work relates the pixel value at the center of the patch with each pixel in the patch window and then estimates the correct location for...
In this work we describe mixed-signal stochastic computing (MSSC) and demonstrate how it can be used to efficiently integrate computation into a signal path before data conversion. MSSC performs computation directly on the analog values output by sensors, which enables MSSC to combine the area efficiency of traditional stochastic computing with the information density and performance of analog computation...
Through thinking deeply on the algorithm of standard median filter, the algorithm is improved in order to make it faster. A fast filtering algorithm is proposed with the help of the relevance between filtering windows. The improved algorithm takes the indexes of the array storing the data of an image as media cleverly and takes the method combining the one-time total ordering with insertion sorting...
Breast sonograms are more effective towards differentiation of cysts from solid tumours; if they could be post-processed for minimization of speckle content without blurring of edges. The approach presented in this paper consists of a bilateral filtering in homogeneity domain so that the despeckling process do not compromises the texture and features of masses. The proposed despeckled approach decomposes...
This paper concerns active control of impulsive noise. Due to nature of impulsive noise, it is very hard to be reduced with classical noise control algorithms. They used to diverge after suddenly receiving high signal values. Several algorithms have been proposed for this purpose, which are usually modifications of the popular FXLMS algorithm. In this paper an algorithm based on FXLMS, but incorporating...
Effective speckle reduction in ultrasound B-mode imaging is important for improving image quality and the accuracy in image analysis. While multiscale analysis-based speckle reduction methods such as Laplacian pyramid nonlinear diffusion (LPND) and nonlinear multiscale wavelet diffusion (NMWD) showed enhanced speckle reduction, they suffer from excessive blurring and artificial appearance. In this...
Median filter as a widespread noise reduction technique is here adapted for images taken with computed tomography (CT) scanner. In order to remove noise and thereby preserve edges and clear contours of objects we propose adapted method which uses partial variable median filtering. Except method explanation, we propose suitable platform for implementation, considering size of data set and time requirements...
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