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.
Expression recognition in the wild is a challenging task because of the interference of various environment. In this paper, we propose a transfer-learning method that utilize two representative transformations from grayscale images as input and fuse their results in decision level to enhance the overall performance, which also address the dimensional mismatch issue when applying pre-trained deep neural...
Multi-label classification is a learning task of predicting a set of target labels for a given example. In this paper, we propose an ensemble method for multi-label classification, which is designed to optimize a novel minimum ranking margin objective function. Moreover, a boosting-type strategy is adopted to construct an accurate multi-label ensemble from multiple weak base classifiers. Experiments...
We present a boosting method for classification problems with optimal AUC value as a performance measure. The proposed technique first minimizes the empirical pairwise classification error. Once the pairwise classification error is reduced to a coordinatewise local minimum, then it switches to maximize the average pairwise margin of a small set of bottom sample pairs. Experimental results on real-world...
Along with the rapid improvements of informational technology, educational data grows quickly. Such data become massive and raw data. Researchers develop educational standards to regular such data. However, the standards are multiple and the education resources based on different education standards have different structure, which is hard to be shared. Most of them have become Information Islands...
Web contents are going overwhelming today. The numerous online documents, webpages, e-books, etc. are much useful but obtaining them is also time-consuming. Text categorization is one of the solutions to the issue. For all text categorization method, Support Vector Machines (SVM) is one of the most acceptable one. However, to perform more efficiently on webpages, it is necessary to add improvements...
In this paper we present a new method for object categorization. Firstly an image representation is obtained by the proposed hierarchical learning method consisting of alternating between local coding and maximum pooling operations, where the local coding operation induces discrimination while the image descriptor and maximum pooling operation induces invariance in hierarchical architecture. Then...
We propose in this paper an enhanced age simulation method for face recognition across age differences. Since the within-class variations caused by age differences are generally much larger than the between-class variations caused by different identities at similar ages, we propose an age simulation method to reduce the facial appearance difference of the same person across age variations. Since it's...
Text Classification is a daunting task because it is difficult to extract the semantics of natural language texts. Many problems must be resolved before natural-language processing techniques can be effectively applied to a large collection of texts. A significant one is to extract semantic information from corpus in plan text. In Vector Space Model, a document is conceptually represented by a vector...
Border officers are a special group within the board range of army officers. They are responsible for the organization and implementation of the development of border armies. Therefore the competency of these officers will directly affect the successfulness of these developments. Through a review of relevant literatures this paper first gives an overview on the state of competency research. This paper...
Minimum Error Rate Training (MERT) as an effective parameters learning algorithm is widely applied in machine translation and system combination area. However, there exists an ambiguity problem in respect to the training goal and it is hard for MERT to tackle, that is different parameters may lead to the same minimum error rate in training but greatly different performances in testing. We propose...
The ultimate bearing capacity of single driven pile increases with time after pile installation, and it is of great importance to foundation design. Although various methods have been established to study this time-dependent ultimate bearing capacity of driven pile, they have different occasions for application, and the deduced results of them may differ greatly. In this paper, four typical types...
Recently, locality sensitive discriminant analysis (LSDA) was proposed for dimensionality reduction. As far as matrix data, such as images, they are often vectorized for LSDA algorithm to find the intrinsic manifold structure. Such a matrix-to-vector transform may cause the loss of some structural information residing in original 2D images. Firstly, this paper proposes an algorithm named two-dimensional...
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.