The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Web services are currently one of the preferred ways for realizing Service Oriented Architectures in business systems. Due to this popularity and also due partly to the failure of the Universal Business Registry initiative, the number of published service descriptions openly available on the Web has increased by a large extent and hence, relevant service discovery as per user specification remains...
In this paper, we explained the current matrix completion theory and proposed a new matrix completion framework called Feature Vector and Function Approximating Based Matrix Completion (FVFABMC) which extended low-rank matrix completion theory. The new matrix completion problem can be decomposed into two learning problems, feature vector learning problem and synthetic function learning problem based...
Digital images of methyl violet dye and methyl orange solutions were obtained under controlled contributions to simulate images of algal blooms. From those images, feature extraction based from both Red-Green-Blue (RGB) and Hue-Saturation-Value (HSV) color space were used. The independent variable C, which is the concentration value of the dye solution, is mapped independently with the R-channel,...
This paper presents a structure damage detection algorithm based on statistical pattern recognition to analyze the acquired data to evaluate the health level of bridge. In this algorithm a novel statistical pattern recognition damage detection algorithm including a new damage sensitive index DSPR is proposed to determine the severity and location of damages. This paper also presents simulation and...
To improve the class separability and storage efficiency for radar target high resolution range profile (HRRP) recognition task, some linear discriminant analysis (LDA) based feature extraction methods have been successfully applied. However, as an effective feature extraction method, traditional LDA encounters four main drawbacks with respect to Gaussian distribution assumption, small sample size...
Program slicing is a common means to support developers in examining the source code with respect to debugging, program comprehension, or regression testing. While a vast amount of techniques exist, they are mostly tailored to single software systems. However, with the increasing importance of variable and highly-configurable systems, such as the Linux kernel, the number of software variants, subject...
Autostereoscopic display with lenticular sheets has been widely used in family and public TV to provide 3D vision because no auxiliary aid is required to acquire 3D perception. The need of 3D videos is a growing hot spot with the development of the lenticular-lens based stereoscopic display technology. The traditional 3D video format is side-by-side, which means it provides two views separately for...
Traffic sign detection and recognition is one of the important fields in the intelligent transportation system, and is expected to provide information on traffic signs and guide vehicles during driving. Traffic sign segmentation is the first stage in traffic sign recognition system, and segmentation results influence the recognition results. This paper presents an efficient method for traffic sign...
The degree distribution is an important characteristic in complex networks. In many applications, quantification of degree distribution in the form of a fixed-length feature vector is a necessary step. Additionally, we often need to compare the degree distribution of two given networks and extract the amount of similarity between the two distributions. In this paper, we propose a novel method for...
Satire exposes humanity's vices and foibles through the use of irony, wit, and sometimes sarcasm too. It is also frequently used in online communities. Recognition of satire can help in many NLP applications like dialogue system and review summarization. In this paper we filter online news articles as satirical or true news documents using SVM (Support Vector Machine) classification method combined...
In this paper, we present a method for the detection of objects in a quantized feature space. Quantizing the feature space is a preprocessing step to compact the amount of data in large scale image retrieval and classification applications. A drawback, compared to the use of non-quantized features, is the loss in the ability to precisely detect and localize common objects across the images. Our method...
Electroencephalogram (EEG) recordings aroused as inputs of a motor imagery based BCI system. Eye blinks contaminate the spectral frequency of the EEG signals. Independent Component Analysis (ICA) has been already proved for removing these artifacts whose frequency band overlap with the EEG of interest. However, already ICA developed methods, use a reference lead such as the ElectroOculoGram (EOG)...
In the past years, the Web has become a huge source of opinionative data. Social media, such as Twitter, are regarded as public diaries, where millions of people express their sentiments and opinions in their daily interaction. One of the biggest challenges in the analysis of such data, is the classification of their polarity, that is, whether they carry a positive or negative connotation. For this...
Personality research on social media is a hot topic recently due to the rapid development of social media as well as the central importance of personality study in psychology, but most studies are conducted on inadequate label samples. Our research aims to explore the usage of unlabeled samples to improve the prediction accuracy. By conducting n user study with 1792 users, we adopt local linear semi-supervised...
Many studies have been carried out on lip reading, most of those works are based on color images, while some essential features might not be obtained, like inner lip information. In this paper, RGB-D camera will be introduced for improving the recognition rate of lip reading. We try to complete lip reading through using only gray-scale images. Thirteen groups of words are given, and we present eight...
Today, the stereoscopic 3D movie is already mainstream, and almost all new devices support stereoscopic 3D movie. The content generation and the necessity to wear glasses, however, hinder the broader acceptance of the technology. Audiences who have poor vision prefer to the glasses free stereoscopic movie. Multi-view video enables a glasses free perception of stereoscopic 3D movie. To support this,...
Local oriented statistical information booster (LOSIB) is a descriptor enhancer based on the extraction of the gray level differences along several orientations. Specifically, the mean of the differences along particular orientations is considered. In this paper we have carried out some experiments using several classical texture descriptors to show that classification results are better when they...
Computing descriptors for image features is a crucial task in many applications. A good feature descriptor is capable of providing invariance to geometric and lightning transformations while consuming as few memory as possible. Recently, there were proposed new approaches to compute a feature descriptor that rely on pixel intensity comparisons in order to generate a binary string, generating binary...
This paper explains and implements a fast image mosaic algorithm for unmanned aerial vehicle (UAV) sequence images. In this algorithm, feature points between images are matched using a modified Harris corner detection algorithm, and then an improved pyramid Lucas-Kanade optical flow algorithm and corner points matching authentication algorithm is used to achieve an effective match of the feature points...
In the Prognostics and Health Management domain, estimating the remaining useful life (RUL) of critical machinery is a challenging task. Various research topics as data acquisition and processing, fusion, diagnostics, prognostivs and decision are involved in this domain. This paper presents an approach for estimating the Remaining Useful Life (RUL) of equipments based on shapelet extraction and characterization...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.