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.
Convolutional Neural Network (CNN) has received remarkable achievements in hyperspectral image (HSI) classification. However, how to effectively implement spatial context that has been demonstrated to be crucial for classification of HSI is still an open issue. Current CNNs for hyperspectral classification are restricted into a small scale due to small-scale input and limited training samples. Therefore,...
Recent years have witnessed a growing interest in developing automatic parking systems in the field of intelligent vehicle. However, how to effectively and efficiently locating parking-slots using a vision-based system is still an unresolved issue. In this paper, we attempt to fill this research gap to some extent and our contributions are twofold. Firstly, to facilitate the study of vision-based...
Unlicensed taxis are widely considered as major obstacles to city traffic regulation and public safety. Thus, many governments have issued restrictions for car-hailing services and alleged that the use of unlicensed vehicles was illegal. However, it is very challenging that traffic administrative enforcements face limited manpower to prohibit unlicensed taxis, due to costly and time-consuming procedure...
The applications of monitoring the equipment online are often limited by the practical signal processing, limited by storage and transferring capacities. The efficiency is a key problem. Thus, a novel highly efficient feature extraction model for evaluating the equipment performance is proposed, which consists of the probabilistic Principal components analysis and the second generation wavelet analysis...
Target recognition is the key step and the most challenging problem for missile defense. Compared with traditional radar, THz radar has great advantages, such as high range resolution, strong penetrating, low intercept probability and strong anti-interference ability, etc. Therefore, the research on missile target recognition based on THz radar is of great significance. In this paper, we did research...
The large number of SNS users brings marketers and managers huge opportunities and tough challenges simultaneously to extract managerial implications from SNS user behaviors. To gain insight into user behaviors, researchers divide users into roles (i.e. user groups) to analyze the difference of user behaviors between distinct roles. In traditional role discovery algorithms, the number of roles is...
The dimensionality reduction is an important step in ultrasound image based computer-aided diagnosis (CAD) for breast cancer. A newly proposed l2,1 regularized correntropy algorithm for robust feature selection (CRFS) has achieved good performance for noise corrupted data. Therefore, it has the potential to reduce the dimensions of ultrasound image features. However, in clinical practice, the collection...
The unstructured road detection plays a key role in an autonomous vehicle navigation system. However, the unstructured road images often contain shadows and are easily affected by ambient light, resulting to an inaccuracy with road detection. A robust road detection technique is required. In this paper, we adopted an improved fuzzy c-means(FCM) clustering algorithm to address these issues. The new...
This paper presents a stock futures prediction strategy by using a hybrid method to forecast the price trends of the futures which is essential for investment decisions. In order to deal with huge amounts of futures data, our strategy consists of two main parts: I. Raw Data Treatment and Features Extraction, and II. DT-SVM Hybrid Model Training. In this paper, we employ real-world transaction data...
As one of the most basic photo manipulation processes, photo cropping is widely used in the printing, graphic design, and photography industries. In this paper, we introduce graphlets (i.e., small connected subgraphs) to represent a photo's aesthetic features, and propose a probabilistic model to transfer aesthetic features from the training photo onto the cropped photo. In particular, by segmenting...
Pedestrian detection is one of the fundamental tasks of an intelligent transportation system. Differences in illumination, posture and point of view make pedestrian detection confront with great challenges. In this paper, we focus on the main defect in the existing methods: the interference of the non-person area. Firstly, we use mapping vectors to map the original feature matrix to the different...
Representing a video by a set of key frames is useful for efficient video browsing and retrieving. But key frame extraction keeps a challenge in the computer vision field. In this paper, we propose a joint framework to integrate both shot boundary detection and key frame extraction, wherein three probabilistic components are taken into account, i.e. the prior of the key frames, the conditional probability...
Social tagging has become a popular solution for recognition and management of resources in web2.0 era. To solve the current problem of insufficient capacity of semantic description of web services, a multi-dimensional social tagging method for semantics of web services is proposed. Under the guidance of general social tagging model, users will annotate services manually from the domain the services...
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.