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The performance of kernel regression estimation mainly depends on the selection of bandwidth. The cross-validation is a simple and effective selection method by using leave-one-out strategy. In this paper, we compare three different cross-validation bandwidth selectors based on Arithmetic Mean (CVAM), Geometric Mean (CVGM) and Harmonic Mean (CVHM) within three common kernel regression estimators,...
In this paper, a detection method of contours of wheels for high real-time is proposed. Since the classic codebook algorithm is difficult to deal with the situation such as global sudden light changes, a improved codebook algorithm is presented. First of all, the moving vehicle is extracted in the video recording the side of vehicle by the improved codebook algorithm. And then the contours of the...
Dialog Act (DA) is an important pragmatics feature for us to understand speakers' intention. Many methods have been proposed to recognize DA tags. However, little work has been conducted to address the problem of DA tagging in Chinese spoken dialog language. In this work, we employ both the lexical features and the inter-utterance dependency features for DA tagging. And we propose three different...
In this paper, a hailstorm recognition method based on radar reflectivity cross section was proposed. Firstly, the strong echo(over 45dBZ) height of hail monomer was calculated and compared with 0??C and ??20??C isothermal height which was got by air sounding. Then three methods were obtained to draw position of radar reflectivity cross section (cutting line). Radar reflectivity cross section was...
Trajectory-based human activity recognition aims at understanding human behaviors in video sequences, which is important for intelligent surveillance. Some existing approaches to this problem, e.g., the hierarchical Dirichlet process hidden Markov models (HDP-HMM), have a severe limitation, namely the motions cannot be shared among activities. To overcome this shortcoming, we propose a new method...
Confusion entropy is a new measure for evaluating performance of classifiers. For each class in a classification problem, the CEN metric considers not only the misclassification information about how the true samples in this class have been misclassified to the other classes, but also the misclassification information about how the other samples have been misclassified to this class. In this paper...
Malicious websites provide a platform supporting diverse Internet crimes. They do not only steal the sensitive information but also let the hacker to control the computer of users. Malicious website detection with the machine learning technique achieves satisfying result. However, the characteristics of the malicious website may be modified to evade the detection. In this paper, the exploratory attack...
Providing continuity services for end-users roaming across the overlapping access networks has been a challenging issue, the IETF hence proposes FMIPv6 acting the cross layer handover management to provide better mobile services. FMIPv6 mainly achieves the pre-registration by obtaining the timely link layer (L2) trigger. The timely L2 trigger hence is crucial for guaranteeing the handover performance,...
For the urgent need of storm forecasting and warning, we achieved the rainstorm case retrieve system for the first time. We extracted the rainstorm radar image's features from historical data set by using digital image processing technology, reduced the unwanted attributes, mined the minimum decision rules according to rough set theory, formed rainstorm knowledge base and case base, and achieved the...
The identification and measurement of inhibition zones and the calculation of their key parameters are critical aspects to the work of the quality of inhibition zone measurement device. For current inhibition zone measurement systems having some deficiency such as low processing speed, inability to identify conjoined objects and precision decline when inhibition zone deforms, an algorithm is proposed...
Person re-identification is defined as to find the same person who re-occurred in a multi-camera surveillance system. A classifier for person re-identification may suffer from the imbalance dataset problem since the number of the targeted images is much less than irrelevant images. In this paper, we proposed over-sampling and under-sampling method for the active learning method for person re-identification...
Wind power prediction is of great significance to the safe and stable operation of the power system. The key factor of wind power prediction is the selection of prediction model. This paper chooses support vector machine (SVM) as the wind power prediction model and applies an improved grid search method to optimize the parameters of C and g in SVM model. The model is able to predict the real-time...
The focus attack, which misleads the classifier to block the legitimate emails containing particular words from the user, is the causative adversary attack in the spam filter application. This paper proposes the revised Naive Bayes classifier to combat the focus attack. For each feature in the Naive Bayes classifier, the additional weight based on the number of ham and spam containing the feature...
Principal curves are curves which pass through the `middle?? of a data cloud. They are sensitive to variances of data clouds. In this paper, we propose a robust principal curve model - Correntropy based Principal Curve (CPC) model, based on maximum correntropy criterion (MCC). The CPC model approximate the principal curve with k-segments of polygonal line. Employing the half-quadratic technique, the...
Collaborative filtering, which identifies and recommends interest items to users based on the interest groups of other users, has received significant interest recently. In this paper, we propose a supervised LDA model (Supervised-LDA) for collaborative filtering. Supervised-LDA can deal with document collections where each document is accompanied by a ratting variable. By modeling the relationship...
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