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.
The present study describes the collaborative writing problem of Hana nikki, a novel published in Yasunari Kawabata’s name but suspected to be written by Tsuneko Nakazato. The aim of the present study is to visualize variances between the writing styles of the author (Yasunari Kawabata) and the potential co-author (Tsuneko Nakazato). We performed the rolling-SVM method on the pre-established...
Scene classification is an extremely challenging task owing to the complexity of the scene content. In this paper, a novel method is designed to harvest the discriminative representation for the scene classification. The proposed model simultaneously takes both discriminative patches and entire scene image into consideration. First, the discriminative patches are extracted from the raw scene image...
In this paper, we address the problem of semi-supervised visual domain adaptation for transferring scene category models from ground view images to overhead view very high-resolution (VHR) remote sensing images. We introduce a multiple kernel learning domain adaptation algorithm to fuse the information from multiple features and cope with the considerable variation in feature distributions between...
Credit risk analysis is to determine if a customer is likely to default on the financial obligation. In this paper, we will introduce sparse non-negative matrix factorization method to discovery the lower dimensional space for reducing the data dimensionality, which will contribute to good performance and fast computation in the credit risk classification performed by support vector machine. We test...
We introduce a novel method, named S-CRP (Segmentation based on distance dependent Chinese Restaurant Process), to segment broadcast sports videos into semantic shots. S-CRP employs distance dependent Chinese Restaurant Process (DCRP) using two segmentation criteria, namely appearance and time distances. It takes advantage of the customer (frame) assignments in DCRP and is able to reduce the negative...
In order to improve the system accuracy of fault diagnosis, this paper proposes the integrated fault diagnosis method based on multi-SVM classifiers. MultiBoost integrated learning method using the AdaBoost algorithm and Wagging algorithm composed of multiple integrated with a combination of base classifiers to improve the classification accuracy of the system. The simulation results show that the...
In public e-mail systems, it is possible to solicit annotation help from users to train spam detection models. For example, we can occasionally ask a selected user to annotate whether a randomly selected message destined for their inbox is spam or not spam. Unfortunately, it is also possible that the user being solicited is an internal threat and has malicious intent. Similar to an adversary, such...
A parameter survey application (PSA) is a typical application running on high-performance computing (HPC) systems. A PSA consists of a lot of independent tasks with different input parameters that are executed in parallel on different CPU cores. Infrastructure-as-a-Service Cloud (IaaS Cloud) is expected to be used as an HPC infrastructure to run PSAs, and some reports have discussed hybrid execution...
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.