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As large-scale multivariate time series data become increasingly common in application domains, such as health care and traffic analysis, researchers are challenged to build efficient tools to analyze it and provide useful insights. Similarity search, as a basic operator for many machine learning and data mining algorithms, has been extensively studied before, leading to several efficient solutions...
Registration of aerial images is a necessary step as valuable information for studying; monitoring, forecasting and managing natural resources can be obtained from it. This paper presents an algorithm for registration of aerial images using orthogonal moment invariants. Initially reference aerial image and test aerial image are resized to same size and converted to gray scale and contrast enhancement...
Audio files with different file names may contain same data in it. This duplicity of data occupies the system storage without providing any benefit to the user. It is obligatory to eliminate this duplicity, to optimize the system storage efficiently. To solve this problem, a segment level audio retrieval system is presented in this paper. The system is used to retrieve the duplicate audio files from...
In this paper we propose a hybrid approach for Content Based Image Retrieval that takes into account both global as well as local features of an image. Towards this, first Stationary Wavelet Transform is applied on query image to extract horizontal, vertical and diagonal detail matrices. Stationary Wavelet Transform is used because of its translational invariant property. After this global textural...
A comparison between two indoor localization algorithms using received signal strength is carried out. The first algorithm is the vector algorithm; the second is the matrix algorithm. The comparison considered the effects of the reference points, the access point, and the frequency on the accuracy of the localization process. The experiments were carried out using ray tracing software and MATLAB....
Aiming at the shortcomings of K nearest neighbor algorithm, this paper put forward an indoor location algorithm based on K nearest neighbor collection of reference points. The new algorithm in this paper expand the single relationship between test points and reference points to net relationship between test points and reference points and between test points' close neighbor points and other reference...
Most of the samples discovered are variations of known malicious programs and thus have similar structures, however, there is no method of malware classification that is completely effective. To address this issue, the approach proposed in this paper represents a malware in terms of a vector, in which each feature consists of the amount of APIs called from a Dynamic Link Library (DLL). To determine...
This paper is concerned with novel features for fingerprint classification based on the Euclidian distance between the center point and their nearest neighbor bifurcation minutia's. The main advantage of the new method is the dimension reduction of the features vectors used to characterize fingerprint, compared with the classic characterization method based on the relative position of bifurcation...
The I-vector approach to speaker recognition has become the prevalent paradigm over the past 2 years, showing top performance in NIST evaluations. This success is due mainly to the capability of the I-vector to capture and compress the speaker characteristics at low dimension and the subsequent channel compensation techniques that minimize channel variability. The Linear Discriminative Analysis (LDA)...
Speech recognition is a major topic in speech signal processing. Speech recognition is considered as one of the most popular and reliable biometric technologies used in automatic personal identification systems. Speech recognition systems are used for variety of applications mainly where security is very important. For a reliable and high accuracy of speech recognition, simple and efficient representation...
Location fingerprinting has received considerable attention as a practical solution to the indoor localization problem. Specifically Received Signal Strength (RSS) based fingerprinting has been studied extensively and some improvements in performance have been reported for certain pattern recognition algorithms. Recently channel impulse response (CIR) based fingerprinting received attention due to...
This paper addresses the problem of face recognition under variation of illumination and poses with large rotation angles using edge information as Independent Component (ICs). The edge information is obtained by using Laplacian of Gaussian (LoG) and second order differential edge detection methods. Then pre-processing is done by using Principle Component analysis (PCA) before applying the Independent...
In this paper we propose a novel approach to palmprint recognition based on local Haralick features. These features are calculated from the grey-level co-occurrence matrices created on the d × d pixels subimages of the D × D pixels palmprint region of interest (ROI); d < D defined by overlapping sliding-windows. The biometric template for a person consists of N m-component feature vectors, where...
Chronic diseases, such as heart disease, diabetes, and obesity, have been linked with diet. Nutrient intake is also associated with diet. However, much of the research completed to elucidate these associations has not incorporated the concept of time. This paper introduces the concept of temporal dietary patterns and demonstrates a novel construct of 24-hour temporal dietary patterns for energy intake,...
Social network service provides means for users to interact over the Internet. Early social networking on Internet began in the form of generalized online communities such as Geocities (1994) and Tripod.com (1995). Social network makes it possible to connect people who share interests and activities across geographical borders. The most successful social network today is facebook.com, which ties together...
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