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Search Results: 1 - 10 of 13950 matches for " Xiangyang Xue "
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Do More Dropouts in Pool5 Feature Maps for Better Object Detection
Zhiqiang Shen,Xiangyang Xue
Computer Science , 2014,
Abstract: Deep Convolutional Neural Networks (CNNs) have gained great success in image classification and object detection. In these fields, the outputs of all layers of CNNs are usually considered as a high dimensional feature vector extracted from an input image and the correspondence between finer level feature vectors and concepts that the input image contains is all-important. However, fewer studies focus on this deserving issue. On considering the correspondence, we propose a novel approach which generates an edited version for each original CNN feature vector by applying the maximum entropy principle to abandon particular vectors. These selected vectors correspond to the unfriendly concepts in each image category. The classifier trained from merged feature sets can significantly improve model generalization of individual categories when training data is limited. The experimental results for classification-based object detection on canonical datasets including VOC 2007 (60.1%), 2010 (56.4%) and 2012 (56.3%) show obvious improvement in mean average precision (mAP) with simple linear support vector machines.
No miRNA were found in Plasmodium and the ones identified in erythrocytes could not be correlated with infection
Xiangyang Xue, Qingfeng Zhang, Yufu Huang, Le Feng, Weiqing Pan
Malaria Journal , 2008, DOI: 10.1186/1475-2875-7-47
Abstract: Of 132 small RNA sequences, no Plasmodium-specific miRNAs have been found. However, a human miRNA, miR-451, was highly expressed, comprising approximately one third of the total identified miRNAs. Further analysis of miR-451 expression and malaria infection showed no association between the accumulation of miR-451 in Plasmodium falciparum-iRBCs, the life cycle stage of P. falciparum in the erythrocyte, or of P. berghei in mice. Moreover, treatment with an antisense oligonucleotide to miR-451 had no significant effect on the growth of the erythrocytic-stage P. falciparum.Short RNAs from a mixed-stage of P. falciparum-iRBC were separated in a denaturing polyacrylamide gel and cloned into T vectors to create a cDNA library. Individual clones were then sequenced and further analysed by bioinformatics prediction to discover probable miRNAs in P. falciparum-iRBC. The association between miR-451 expression and the parasite were analysed by Northern blotting and antisense oligonucleotide (ASO) of miR-451.These results contribute to eliminate the probability of miRNAs in P. falciparum. The absence of miRNA in P. falciparum could be correlated with absence of argonaute/dicer genes. In addition, the miR-451 accumulation in Plasmodium-infected RBCs is independent of parasite infection. Its accumulation might be only the residual of erythroid differentiation or a component to maintain the normal function of mature RBCs.MicroRNAs (miRNAs), a newly discovered class of endogenous ~21 nucleotide regulatory non-coding small RNAs, post-transcriptionally regulated gene expression in eukaryotes by targeted RNA degradation and translational arrest [1]. Similarly to short interfering RNAs (siRNAs), miRNAs are produced in the cytoplasm from a precursor, which contains an imperfectly matched inverted repeat forming a partial double-stranded region, by the ribonuclease, dicer. One strand of the resulting miRNA duplex intermediate is then recruited by the argonaute nuclease, an enzyme involve
A NEW MOTION COMPENSATION ALGORITHM USING MOTION VECTOR INTERPOLATION
基于运动矢量插值的运动补偿算法

Xue Xiangyang,Wu Lide,
薛向阳
,吴立德

电子与信息学报 , 1997,
Abstract: A modified Block Matching Algorithm(BMA) with motion correlation constraint is proposed at first. Then a novel motion estimation algorithm, which computes motion vector for each pixel by interpolating motion vectors is presented. In order to increase interframe prediction gain and decrease the computational complexity, a motion vector optimizing algorithm for local image region is described at last. Experimental results show that the proposed algorithm can improve the prediction performance obviously with a moderately increased complexity compared with the conventional BMA.
AN IMPLEMENTATION METHOD FOR IMPROVING H.261 VIDEO CODER
一种提高H.261编码性能的实现方法

Xue Xiangyang,Wu Lide,
薛向阳
,吴立德

电子与信息学报 , 1997,
Abstract: This paper proposes a method to improve H.261 video coder by modifying the block matching motion estimation algorithm. It is thought that the traditional block matching algorithm based on the least mean square error or absolute error criteria is not suitable for H.261 video coder. The good criteria must consider not only the error energy, but also the bit number for encoding motion vectors as well as the interframe prediction error. Experimental results show that the performance of H.261 coder is improved greatly by using the proposed implementation method.
Retrospective Analysis on Risk Factors of Postoperative Cardiac Arrhythmia in 352 Cases Lung Cancer with Senile Patients
Jiahua ZHAO,Xiangyang CHU,Zhiqiang XUE,Chi XU
Chinese Journal of Lung Cancer , 2011,
Abstract: Background and objective Community is quickly turning into the aging period, and lung cancer has become more common in elderly patients with malignant tumor. At present, surgery remains the preferred therapeutic choice. However, it’s worth noting that arrhythmia is a common complication during the perioperative period. The aim of this study is to explore the risk factors of arrhythmia in lung cancer patients over the age of 70 years at perioperative periods. Methods We retrospectively analyzed 352 patients who underwent lobectomy or pneumectomy in Chinese PLA General Hospital from July 1997 to May 2008. χ2 and Logistic regression were performed to analyze the clinical data. Results Among 352 elderly patients with lung cancer, 71 cases accurred perioperative arrhythmias. The occurrence rate was 20.2%. The results of multivariate analysis showed that age, cardiovascular disease history, arrhythmia history, cardiac and pulmonary dysfunction before operation, pneumonectomy, operation time were the high risk factors of perioperative arrhythmia. Conclusion More attention should be paid to prevent perioperative arrhythmia in the eldly lung cancer patients.
Primary Report of Lobectomy with Single Utility Port Complete Video-assisted Thoracoscopic Surgery
Xiangyang CHU,Zhiqiang XUE,Lianbin ZHANG,Xiaobin HOU
Chinese Journal of Lung Cancer , 2010,
Abstract: Background and objective Video-assisted thoracoscopic surgery (VATS) has been widely used in the diagnosis and treatment of chest diseases, The aim of this study was to explore the feasibility and clinical value of lobectomy with single utility port complete VATS. Methods From September 2009 to December 2009, 21 cases underwent lobectomy with single utility port complete VATS. Of 21 patients, right upper lobectomy was 12 cases, left lower lobectomy 5 cases, right lower lobectomy 2 cases, left upper lobectomy 1 case, right middle lobectomy 1 case. Results The operation process were smooth in all patients and without conversion to thoracotomy. The mean operative time was (132.7±16.2)min and the mean intraoperative blood loss was (110.5±24.6)mL. The average chest tube drainage time was (3.1±1.3)d, and the mean hospitalization day was (5.2±3.2)d. All patients recovered smoothly and without severe complications. There were no post-operative deaths. Conclusion Lobectomy with single utility port VATS is technically feasible and has the advantages of minimal invasive and rapid recovery.
Learning to Point and Count
Jie Shao,Dequan Wang,Xiangyang Xue,Zheng Zhang
Computer Science , 2015,
Abstract: This paper proposes the problem of point-and-count as a test case to break the what-and-where deadlock. Different from the traditional detection problem, the goal is to discover key salient points as a way to localize and count the number of objects simultaneously. We propose two alternatives, one that counts first and then point, and another that works the other way around. Fundamentally, they pivot around whether we solve "what" or "where" first. We evaluate their performance on dataset that contains multiple instances of the same class, demonstrating the potentials and their synergies. The experiences derive a few important insights that explains why this is a much harder problem than classification, including strong data bias and the inability to deal with object scales robustly in state-of-art convolutional neural networks.
Groupwise Constrained Reconstruction for Subspace Clustering
Ruijiang Li,Bin Li,Ke Zhang,Cheng Jin,Xiangyang Xue
Computer Science , 2012,
Abstract: Reconstruction based subspace clustering methods compute a self reconstruction matrix over the samples and use it for spectral clustering to obtain the final clustering result. Their success largely relies on the assumption that the underlying subspaces are independent, which, however, does not always hold in the applications with increasing number of subspaces. In this paper, we propose a novel reconstruction based subspace clustering model without making the subspace independence assumption. In our model, certain properties of the reconstruction matrix are explicitly characterized using the latent cluster indicators, and the affinity matrix used for spectral clustering can be directly built from the posterior of the latent cluster indicators instead of the reconstruction matrix. Experimental results on both synthetic and real-world datasets show that the proposed model can outperform the state-of-the-art methods.
A Graph Minor Perspective to Multicast Network Coding
Xunrui Yin,Yan Wang,Zongpeng Li,Xin Wang,Xiangyang Xue
Computer Science , 2013,
Abstract: Network Coding encourages information coding across a communication network. While the necessity, benefit and complexity of network coding are sensitive to the underlying graph structure of a network, existing theory on network coding often treats the network topology as a black box, focusing on algebraic or information theoretic aspects of the problem. This work aims at an in-depth examination of the relation between algebraic coding and network topologies. We mathematically establish a series of results along the direction of: if network coding is necessary/beneficial, or if a particular finite field is required for coding, then the network must have a corresponding hidden structure embedded in its underlying topology, and such embedding is computationally efficient to verify. Specifically, we first formulate a meta-conjecture, the NC-Minor Conjecture, that articulates such a connection between graph theory and network coding, in the language of graph minors. We next prove that the NC-Minor Conjecture is almost equivalent to the Hadwiger Conjecture, which connects graph minors with graph coloring. Such equivalence implies the existence of $K_4$, $K_5$, $K_6$, and $K_{O(q/\log{q})}$ minors, for networks requiring $\mathbb{F}_3$, $\mathbb{F}_4$, $\mathbb{F}_5$ and $\mathbb{F}_q$, respectively. We finally prove that network coding can make a difference from routing only if the network contains a $K_4$ minor, and this minor containment result is tight. Practical implications of the above results are discussed.
Research of Web Real-Time Communication Based on Web Socket  [PDF]
Qigang Liu, Xiangyang Sun
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2012, DOI: 10.4236/ijcns.2012.512083
Abstract: Regarding the limitations of traditional web real-time communication solutions such as polling, long-polling, flash plug-in, propose that using new coming Web Socket technology in the web real-time communication field, introduce the features of Web Socket technology, analysis the difference between Web Socket protocol and HTTP protocol, offer an approach to implement the Web Socket both in client and server side, prove Web Socket can decrease network traffic and latency greatly by an experiment, made the prospect of future application of Web Socket in web real-time communication.
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