Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Currently there is a lot effort to define neurological biomarkers from resting state fMRI data for different neurological diseases. fMRI voxels are high dimensional vectors, so that dimensional reduction, to scalar values if possible, is highly desirable. At the same time, biomarkers are to be provided as brain localizations which may have an anatomical interpretation. A general procedure consists...
Whether or not emotion in music can change over time is not a question that requires discussion. As the interest in continuous emotion prediction grows, there is a greater need for tools that are suitable for dimensional emotion tracking. In this paper, we propose a novel Continuous Conditional Neural Fields model that is designed specifically for such a problem. We compare our approach with a similar...
Nowadays, content-based image-retrieval techniques constitute powerful tools for archiving and mining of large remote sensing image databases. However, the gap between low-level unsupervised extracted features in content-based retrieval and the high-level semantic concepts of user queries limits their performances. For that reason, we propose an adaptive content based image retrieval (CBIR) approach...
Multimedia information processing is a new technology developing rapidly recent years, among which the Image Matching Technology has wide range of applications in various fields, such as face recognition and building recognition, image database retrieval, etc. This paper focus on the accuracy of image matching using SIFT (Scale Invariant Feature Transform) algorithm to extract feature points from...
Cognitive radio is an emerging technology that is used to solve the problem of scarce spectrum resource utilization. Among its fundamental functions, the most important is the spectrum sensing which requires high accuracy and low complexity particularly at very low signal-to-noise ratio (SNR) values. In this paper, we discuss a recently proposed spectrum sensing detector [1] which explores the sparsity...
Dyspepsia is a condition of indigestion and became one of the diseases with a large number of patients in Indonesia. Early detection of Dyspepsia is done to assist in the prevention of the disease. Iridology is a method of early detection in human organs disorders by analyzing the iris patterns. However, the application of Iridology technique often finds difficulties because it requires a high level...
The gunshot blast is one of the evidences used to identify the criminal gun in the shooting scene. We proposed a method of using the gunshot blast to identify the firearm caliber in terms of audio forensics. The experiments were performed on the database consisting of 80 audio files of gunshot sounds fired from 8 different guns. At first, the autocorrelation functions of the gunshot sounds were calculated...
Cognitive Radio (CR) is projected to be the next disruptive radio communications and networking technology and has already attracted considerable interest from researchers worldwide. CR follows the design philosophy of Dynamic Spectrum Access (DSA) as opposed to a fixed spectrum allocation policy. The enabling technology for CR is spectrum sensing. However, spectrum sensing is one of the most complex...
In current media-centric society, video has become the suitable cover for steganography. However, video steganalysis remains largely unexplored compared to the mature image steganalysis. One open problem is how to design efficient rich features for video steganalysis by exploiting the correlations in video. In this paper, we propose a novel video steganalytic scheme based on the spatial-temporal correlation...
In the context of recommenders, providing suitable suggestions requires an effective content analysis where information for items, in the form of features, can play a significant role. Many recommenders suffer from the absence of indicative features capable of capturing precisely the users' preferences which constitutes a vital requirement for a successful recommendation technique. Aiming to overcome...
In this paper, we propose an autonomous navigation for Unmanned Ground Vehicles (UGVs) by a path selection method based on local features of terrain in unknown outdoor rough terrain environment. The correlation between a local terrain feature obtained from a path and a value of the path obtained from the global path planning is extracted in advance. When UGV comes to a branch while it is running,...
We have developed flexible, active, multiplexed recording devices for high resolution recording over large, clinically relevant areas in the brain. While this technology has enabled a much higher-resolution view of the electrical activity of the brain, the analytical methods to process, categorize and respond to the huge volumes of seizure data produced by these devices have not yet been developed...
Heterogeneous Face Recognition (HFR) refers to matching probe face images to a gallery of face images taken from alternate imaging modality, for example matching near infrared (NIR) face images to photographs. Matching heterogeneous face images has important practical applications such as surveillance and forensics, which is yet a challenging problem in face recognition community due to the large...
In this paper, a simple and effective multibiometric technique for subject recognition using multiple lead electrocardiogram (ECG) signals is presented. The proposed technique significantly improves the recognition performance of a biometric system by using multiple sources available in the same modality group. A total of 30 subjects with 12 lead ECG measurements obtained from PTB Diagnostic ECG database...
This paper presents an alternative approach to classical box counting algorithm for fractal dimension estimation. Irrelevant data are eliminated from input sequences of the algorithm and a new fractal dimension, called efficient fractal dimension (EFD), which is based on the remaining sequences is calculated. The discriminating capacity and the time efficiency of EFD are evaluated in comparison with...
Motivated by the demand of today's Assyriologists we develop a system for automated detection and extraction of cuneiform script, which is one of the most important sources for ancient history. Traditional means of documentation are (i) photographs and (ii) manual drawings, which are increasingly replaced by shape acquisition using 3D-scanners resulting in (iii) high-resolution 3D-models. To utilize...
It is becoming feasible and promising to use general purposed smartphone cameras as fingerprint scanners due to the rapidly improvement of smartphone hardware performance. We propose an approach to qualify the fingerprint samples generated by smartphones' cameras under real-life scenarios. Firstly, our approach extracts 6 quality features for each image block divided from a fingerprint sample using...
As a kind of statistical features, texture features often have a rotary deformation, and have strong resistibility to noise. The paper first constructs the gray level co-occurrence matrix of face image to describe texture feature of face image, and then uses the classification method of minimum weighted Euclidean distance to fulfill the matching and identification of face. Experiments results have...
Aim of this study is applying the ensemble classification methods over the stock market closing values, which can be assumed as time series and finding out the relation between the economy news. In order to keep the study back ground clear, the majority voting method has been applied over the three classification algorithms, which are the k-nearest neighborhood, support vector machine and the C4.5...
In this paper, we propose an automated, data-driven and unobtrusive framework to analyze interactional synchrony. We use this information to determine whether interpersonal synchrony can be an indicator of deceit. Our framework includes a robust facial tracking module, an effective expression recognition method, synchrony feature extraction and feature selection methods. These synchrony features are...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.