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In computer vision and multimedia search, it is common to use multiple descriptions from different views to represents an object. As one of the popular multi-view learning methods, Multi-view Linear Discriminant Analysis (MLDA) was proposed to maximize discrimination in each view and correlation between two views simultaneously through combining CCA and LDA. However, MLDA does not utilize the local...
The ultimate goal of systems biology research area is to accurately predict the behavior of biological systems through the construction of computational models, using the related molecular-level data as the input, especially when the structural information of such biological system is available. Combining the three-dimensional (3D) structural information of the cohort of macromolecules underpinning...
Nowadays more and more data are being sequenced and accumulated in system biology, which brings the data analytics researchers to a brand new era, namely ‘big data’, to extract the inner relationship and knowledge from the huge amount of data. Bridging the gap between computational methodology and biology to accelerate the development of biology analytics has been a hot area. In this paper, we focus...
Currently, all kinds of Location-based Services (LBS) are gradually demanding more location information of mobile users. The WiFi-based indoor positioning technologies have been investigated intensely. However, both positioning accuracy and stability are often degraded by RSS detection variance between different devices. To solve the two problems, this paper proposes a compensation strategy for RSS...
Classification is the basis of electrocardiography (ECG) analysis. In the last decades, a large number of methods were proposed to deal with the classification of ECG beats. In this paper a kind of deep learning method is introduced into ECG beats classification. We create a classifier with stacked sparse autoencoder (SAE), and then combine the softmax regression with the SAE networks to consummate...
Aiming at the shorting of the existing atrial fibrillation (AF) detection algorithms and improve the ability of intelligent recognition and extraction of AF signals. Recently, deep learning theory with massive data has been used on image, voice and other filed widely. In this paper, a method based on the stack sparse autoencoder neural network, a instance of deep learning strategy, was proposed for...
This paper designs and implements a new indoor location system based on a novel type of WIFI fingerprint by fully considering the interference of signals affected by different mobile orientation and user's body. Simulation results show that our method is better than traditional methods in the aspect of positioning accuracy and resolution.
Due to the development of Web technology, the research on Internet big data become more and more popular. Source tracing of event is a practical problem, however, research on event source from multi-source event data is rare. The incompleteness and incredibility of Internet data are challenging issues for detecting event source. In this paper, event is mapped into Network Public Opinion Data Space...
Acoustic source localization in sensor network is a challenging task because of severe constraints on cost, energy, and effective range of sensor devices. To overcome limitations in existing solutions, this paper formally describes, designs, implements, and evaluates a Hamming Distance-based Method for Acoustic Source Localization, i.e., HammingLoc, in distributed smartphone networks. The key idea...
Insomnia was the most common sleep problem among about one half of elder adults. Throughout centuries of clinical practice, treatment of this disease with traditional Chinese medicine (TCM) was being increasingly demonstrated advantage. Nevertheless, there are few documents concerning the composition rules of Chinese herbs according to pattern differentiation for treating insomnia. This present study...
At present, in much more complex business environment, the dynamic distribution is difficult to manage, which has brought great inconvenience to the daily production and personnel scheduling. To solve this problem, we propose a design method of real-time monitoring system to grasp the number of workers and their scope of activities accurately and effectively. This method of automatic identification...
Growing number of services need efficiently locating the desired web services. The similarity metric plays an important role in service search. However, most solutions only exploit information available in the descriptions of services and employ a single similarity metric. We observe that under different contexts the descriptions of services vary in their level of semantic ambiguity. It is hardly...
There is an increasing use of some imperceivable and redundant local features for face recognition. While only a relatively small fraction of them is relevant to the final recognition task, the feature selection is a crucial and necessary step to select the most discriminant ones to obtain a compact face representation. In this paper, we investigate the sparsity-enforced regularization-based feature...
Compared to globality based supervised dimensionality reduction methods such as Fisher Discriminant Analysis (FDA), locality based ones including Local Fisher Discriminant Analysis (LFDA) have attracted increasing interests since they aim to preserve the intrinsic data structures and are able to handle multimodally distributed data. However, both FDA and LFDA are usually solved via a ratio trace form...
A new experimental teaching system for computer graphical course was presented. In the system, the students may design programs about graphical methods and submit the experimental data and pictures to database. The system may automatically grade results about students' experiment. The teacher can use handmade perusal. The system can not only educate students' ability of study and design, but also...
Geographical centralized e-commerce has a lot of defects. Based on the characteristics of P2P and Web Services technology, a decentralized e-commerce architecture is proposed in this paper, which can solve the problems such as the difficulties of resource reorganization, cross-platform, database maintenance and so on, which can hardly be settled in existing geographical centralized e-commerce. So...
We presented a new experimental teaching system for digital image processing course. The students may design programs about image processing methods and submit the experimental data to database in the system. The system may automatically grade students' experimental results. The teacher can use handmade perusal. The system can educate students' ability of study and design. It may raise teacher's working...
Aspect-Oriented Programming (AOP) is good at solving the difficulty in Object-Oriented Programming (OOP) of crosscutting concerns, and loosens the system from higher standpoints. Based on the characteristics of web application system, this paper introduces the AOP idea into it, and designs a kind of multi-player architecture based on MVC, emphasizes on the analysis of crosscutting concerns in web...
There are many Web-based curriculums in which the chapter navigation is designed as directory tree. In most cases, developing the directory tree requires a large quantity of code and the chapter navigation lacks flexibility as well as extensibility. In our method, we rationally integrated EXTJS with WEBWORK in the JAVA platform. The EXTJS code was directly introduced on the JSP page. The data required...
A Method, to locate eye in image by using gray projection, is presented. We utilize the gray differential projection cure of the facial image to locate eye vertically position and utilize the gray integral projection cure to locate eye horizontal position. The method can apply to not only the upright front side face, but also the upright side face, lift up face and low face. When the face in image...
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