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.
Wi-Fi signals have been typically acting as information carriers in modern communication system, but recent research has revealed their powerful capability in detecting and identifying various targets. With Wi-Fi, we can now "see" people's location, activity, and even hand gestures. In this paper, a new method of dynamic gesture recognition using Wi-Fi based on signal processing and machine...
Geometry features especially triangle has been widely used in face, fingerprint, vehicle detection and digit recognition. Features from the triangle are used to generate useful features for classification processed. Recently, triangle features used in digit recognition has adopted angle as part of features. This has influenced accuracy due to big gap between angle values and other feature values such...
In all customer based industries, customer churn is considered as one of the most important and challenging concerns since it can lead to a serious profit loss. Therefore, developing accurate churn prediction models can significantly help Customer Relationship Management in planning effective retention campaigns and consequently helps in maximizing the profit of the service provider. In this paper,...
Cervical cancer is known to be one of the deadly diseases in women. On the other hand, it is one of the most curable cancer if detected early. A well-known method in screening cervical cancer is by performing the Papanicoulaou test or Pap test. However, the screening process is laborious since it requires visual inspection of individual cells by experts. A large number of cases processed by a limited...
Driver drowsiness detection system had been developed as mobile device application such as Percentage of Eye Closure (PERCLOS) measured by using mobile device camera. Nevertheless, the mobile device has the potential risk of distracting the driver's attention, causing accidents. Thus, a wearable-type drowsiness detection system is proposed to overcome such issue. The proposed system used self-designed...
In this paper we present a study on music mood classification by using only lyrics information. Specially considering the Chinese songs, the Chinese word-segmentation has caused intolerable errors and inadequate use of lyrics information. Our work proposes to use bag-of-character features instead of bag-of-word features to avoid the word segmentation error, which makes the classification more inaccurate...
Recently, a novel nonparallel support vector machine(NPSVM) is proposed by Tian et al, which has several attracting advantages over its predecessors. A sequential minimal optimization algorithm(SMO) has already been provided to solve the dual form of NPSVM. Different from the existing work, we present a new strategy to solve the primal form of NPSVM in this paper. Our algorithm is designed in the...
The proximal classifier with consistency (PCC) isan improvement of generalized eigenvalue proximal support vector machine (GEPSVM), ensuring consistency ignored inGEPSVM. However, similar to many other machine learning methods, PCC uses only the global information and the eigenvalue problem need to be solved, which can not classify small sample size (SSS) problem effectively. By exploiting both global...
The goal of this paper is to compare the performances of various supervised algorithms in classifying physical daily living activities. Six healthy subjects were asked to perform twelve static and dynamic activities such as walking, running, sitting down, standing-up, lying, climbing stairs, etc. Three triaxial accelerometers are used to measure the human movements resulting from each activity. Seven...
Since past few years there is tremendous advancement in electronic commerce technology, and the use of credit cards has increased dramatically. As credit card becomes the most popular mode of payment for both online as well as regular purchase, cases of fraud associated with it are also rising. In this paper the authors present the underlying theory of a hybrid model of an Intelligent Fraudulent Detection...
The main objective of this work is to classify Hindi stories into three genres: fable, folk-tale and legend. In this paper, we are proposing a framework for story classification using keyword and Part-of-speech (POS) based features. Keyword based features like Term Frequency (TF) and Term Frequency Inverse Document Frequency (TFIDF) are used. Effect of POS tags like Noun, Pronoun, Adjective etc.,...
This paper deals with the offline recognition of handwritten Gurmukhi characters. Here two sets of features based on gradient and curvature of character image are computed. The extracted features are then fused together to form a composite feature vector containing both gradient and curvature information. Two ways of generating this composite feature vector is presented in this paper. Dimensionality...
Multiclass classification is the task of classifying the samples into more than two classes. Generally multi-classifiers face difficulty in classifying samples those are very close to the separating hyperplane, known as Generalization error. Generalization error can be reduced by maximizing the margin of the separating hyperplanes. Support Vector Machine (SVM) is a maximum-margin classifier, its aim...
Classification refers to the computational techniques for classifying whether the sentiments of text are positive or negative. Sentiment Classification being a specialized domain of text mining is expected to benefit after preprocessing such as removing stopwords. Stopwords are frequently occurring words that hardly carry any information and orientation. In this paper the effect of stopwords removal...
In this paper, we propose a novel approach for reader-emotion categorization using word embedding learned from neural networks and an SVM classifier. The primary objective of such word embedding methods involves learning continuous distributed vector representations of words through neural networks. It can capture semantic context and syntactic cues, and subsequently be used to infer similarity measures...
We present a reduced dimensionality, information rich (RDIR) visual representation for scene information that distills the most distinguishing elements in an image, enabling scene classification by humans and computers under reduced dimensionality conditions. The representation utilizes the Gist model [1] to convey scene information in low bandwidth conditions, exhibiting enhanced classification performance...
This paper presents strategy to classify tweets sentiment using Naive Bayes techniques based on trainers' perception into three categories; positive, negative or neutral. 50 tweets of ‘Malaysia’ and ‘Maybank’ keywords were selected from Twitter for perception training. In this study, there were 27 trainers participated. Each trainer was asked to classify the sentiment of 25 tweets of each keyword...
This paper deals with modelling high-volatile time series using modern machine learning technique called Support Vector Regression. After discussing the basic principles of Support Vector Machines (SVM), we construct SVM Regression Prediction Model. Afterwards, this prediction SVR model is applied to oil prices. Due to high-volatile and dynamic character these data are very difficult to model. Experiments...
In this paper, we have discussed the development of a complete solution for identification of Voice of Customer (VOC) at the mobile domain. We have defined 27 possible aspects and 3 possible sentiments in this domain. The task is to identify the aspects a specific reviewer is talking about and the sentiments he conveys. The words (terms) and the types (tags) of aspects are identified using a statistical...
Currently, There are many E-commerce websites around the internet world. These E-commerce websites can be categorized into many types which one of them is C2C (Customer to Customer) websites such as eBay and Amazon. The main objective of C2C websites is an online market place that everyone can buy or sell anything at any time. Since, there are a lot of products in the E-commerce websites and each...
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.