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Background: Many relevancy filters have been proposed to select training data for building cross-project defect prediction (CPDP) models. However, up to now, there is no consensus about which relevancy filter is better for CPDP. Goal: In this paper, we conduct a thorough experiment to compare nine relevancy filters proposed in the recent literature. Method: Based on 33 publicly available data sets,...
A novel set-membership-based smoothing method for state estimation using the optimal bounding ellipsoid (OBE) algorithms is presented. OBE filters have been proven to be effective in state estimation problems with unknown but bounded errors. Compared with filtering methods, smoothing methods provide a much more accurate and reliable state estimate because observations beyond the current estimation...
The high dimensionality of hyperspectral images often imposes a heavy computational burden for image processing. Therefore, dimensionality reduction is often an essential step in order to remove the irrelevant, noisy and redundant bands. And consequently increase the classification accuracy. However, identification of useful bands from hundreds or even thousands of related bands is a nontrivial task...
In the real world, sensors are always exposes to noise and error during measurements. These problems will lead to invalid and overshoot readings, as well as blank data. Fortunately, these errors can be treated using filters. For data collection process using laser range finder, the use of filters is necessary as they can help to overcome the laser limitations and improve the scanning input. Here,...
This paper presents a hybrid filter-wrapper approach to sentiment polarity classification. It is a two-phase feature selection method that differs from other approaches in a main aspect: an initial preprocessing step with typical data mining filters. After applying such filters, a wrapper-based feature selection method, which integrates the genetic algorithm and the support vector machine classifier,...
This paper presents a view synthesis algorithm without depth cameras and camera calibration: First, use the left and right view sequence to obtain disparity estimation map. Then do twice horizontal synthesis with the initial disparity map and smoothing filtered disparity map on the left view sequence. Finally, merging the two composite image to finish hole filling. Simulation results show that the...
We investigated differentiated signal from output of filter widely used in engineering, which is based on moving average method. We determined influences of different parameters on filtered signal error. We provided filter structure, that does not require further heuristic tuning.
Removing impulse noise in digital images is one of the major challenges in digital image processing. Pixels in digital images get corrupted during transmission due to impulse noise. In this paper, we propose a modified decision based median filter that removes impulse noise from gray images. For noise removal from digital images, different types of median filters are used: Standard Median Filter (MF),...
The EEG pre-processing steps involve removing noise and artifacts from EEG. The noise from the main source like electro-oculogram, electrocardiogram, electromyogram and other sources should be eliminated to increase accuracy in classification. As these artifacts may be misinterpreted as originating from the brain, there is a need to minimize or remove them from recorded EEG signals. The artifacts...
From a large amount of data, significant knowledge is discovered by means of applying techniques in the knowledge management process and those techniques is known as Data mining techniques. For a specific domain, a form of knowledge discovery called data mining is necessary for solving the problems. The classes of unknown data are detected by the technique called classification. Neural networks, rule...
When the system model and noise statistical characteristics are known, the conventional Kalman filtering algorithm is suitable. In most cases, the noise statistics are unknown. To improve the alignment precision and convergence speed of strap-down inertial navigation system, an initial alignment method based on Sage-Husa adaptive filter is proposed. Automatic on-line estimation and correction for...
The wide application of Internet technology and media technology produces more and more data which also leads the arrival of the era of big data. However, it is difficult to extract the needed information from the original data directly except some special conditions. In recent years, the development of machine learning which provide a effective way to solve this problem for us. You can obtain lower...
H∞ filtering is a representative method of robust control. In the SINS/GPS integrated navigation system, to solve the limitation of Kalman in the system model and noise, this paper puts forward an application of H∞ filtering algorithm, which has strong robust performance in integrated navigation system. The filter equation of H∞ and Kalman algorithm is given. The integrated navigation (SINS/GPS) uses...
Wrapper based gene selection methods tend to obtain better classification accuracy than filter methods, while it is much more time consuming. Accelerating this process without degrading the high accuracy is of great value for researchers to better analyze gene expression profiles. In this paper, we explore to reduce the time complexity of wrapper based gene selection method with K-Nearest-Neighbor...
Feature selection is one of the important preprocessing steps in analyzing high dimensional datasets. In this paper, first the ensemble of three different filter ranking methods including: Information Gain (IG), ReliefF and F-score are used to reduce the dimension of datasets. Afterward, reduced data are utilized as inputs of the meta-heuristic algorithm, Improved Binary Gravitational Search Algorithm...
In this paper differential evolution algorithm has been adopted to identify a suitable set of values of L-C-L filter used in a grid-tied voltage source inverter to meet total harmonic distortion (THD) requirement. A single-phase circuit model with virtual equivalent impedance of inverter output power was used to analyze total harmonic distortion. This paper also adopted a combination of partial direct-pole-placement...
This paper presents post-processing algorithms which work on a commercial FPGA for high quality stereo vision results. Specially, in this paper we focus the description of algorithms and their performance evaluation results instead of explaining hardware architecture. The proposed algorithms consists of five sub-blocks in cascade manner, which are consistency check, hole filling, variance check, weighted...
Pipeline transportation is the main way of crude oil and product oil transportation, pipeline leak detection and positioning in time is very important to safe operation of the pipeline. The currently existing leak detection methods based on negative pressure wave are consider the interference existing in steady oil transportation state as random disturbance, which cause the difficult to detect tiny...
This paper presents a low power decimation filter designed for oversampling ???? Analog to Digital Converters (ADC). The Decimation filter consists of three stages; namely, CIC filter, Half-Band filter, and FIR filter. In order to reduce power, Canonical Signed Digit (CSD) representation, multiplierless filter architecture, polyphase structure, and multistage CIC structure are utilized. In addition,...
In this paper a Threshold based Directional Weighted Median (TDWM) Filter for Removal of Random valued Impulse Noises (RVIN) from digital and Infrared Images, has been proposed. This filter works in two phases; at first it detects the impulses, and then replaces the pixels affected with impulses by an estimated value. This filter works efficiently in suppressing impulses from both digital images and...
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