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Domain adaptation aims to correct the mismatch in statistical properties between the source domain on which a classifier is trained and the target domain to which the classifier is to be applied. In this paper, we address the challenging scenario of unsupervised domain adaptation, where the target domain does not provide any annotated data to assist in adapting the classifier. Our strategy is to learn robust features which are resilient to the mismatch across domains and then use them to construct classifiers that will perform well on the target domain. To this end, we propose novel kernel learning approaches to infer such features for adaptation. Concretely, we explore two closely related directions. In the first direction, we propose unsupervised learning of a geodesic flow kernel (GFK). The GFK summarizes the inner products in an infinite sequence of feature subspaces that smoothly interpolates between the source and target domains. In the second direction, we propose supervised learning of a kernel that discriminatively combines multiple base GFKs. Those base kernels model the source and the target domains at fine-grained granularities. In particular, each base kernel pivots on a different set of landmarks—the most useful data instances that reveal the similarity between the source and the target domains, thus bridging them to achieve adaptation. Our approaches are computationally convenient, automatically infer important hyper-parameters, and are capable of learning features and classifiers discriminatively without demanding labeled data from the target domain. In extensive empirical studies on standard benchmark recognition datasets, our appraches yield state-of-the-art results compared to a variety of competing methods. 相似文献
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针对云系统服务器之间共享策略文件所面临的完整性安全威胁,提出一种新的基于固件的策略安全机制。该机制可在云系统服务器平台之间安全且快速地进行共享策略文件交互,并可对共享策略文件进行完整性校验,进而提高协同工作的服务器所共享策略文件的安全性。实验结果表明,该机制有效实现了云系统环境下共享策略文件的完整性安全,同时提高了云系统管理员的管理效率。 相似文献
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随着平板电脑、智能手机的普及,移动互联网时代已经到来。各种交互式媒体、移动应用对数字媒体专业人才培养提出新的挑战。在对常熟理工学院数字媒体技术专业建设分析的基础上,结合移动互联网时代未来的发展方向,提出优化课程体系、调整课程结构、重组课程内容、注重复合型人才培养的改革思路。 相似文献
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以氧化锌和磷酸为原料,以硅烷偶联剂为改性剂,采用机械力化学湿法制备微细磷酸锌并进行表面改性.用XRD、润湿角、活化指数、沉降时间等手段对产物进行表征,用FT-IR对改性粉末的结构进行分析,初步探讨了偶联剂与磷酸锌的作用机理.结果表明产物为二水和四水磷酸锌混合物;在红外区域2 800~3 000 cm-1和1 400 cm-1有偶联剂的特征吸收峰,说明偶联剂与磷酸锌之间发生了化学反应;当硅烷偶联剂添加质量分数由0增加到2%,改性产品的活化指数由0增加到98.71%,对水的润湿角由0°增加到93.21°,沉降时间由0.5 h增加到176 h,在涂料中的分散性和贮存稳定性得到改进. 相似文献
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Poly(L ‐lactic acid) (PLLA) scaffolds with pore diameters from several micrometers to ~300 μm were fabricated by a specially elaborated thermally induced phase separation technique. Two different coarsening protocols, i.e., normal coarsening and multi‐step coarsening were compared in consideration of phase separation and domain growth. A normal coarsening route produced scaffolds with pore size from several micrometers to 150 μm depending on the coarsening time after phase separation, accompanying with the emergence of isolated pores at long time coarsening. Scaffolds with large pores with size up to ~300 μm were fabricated by the two‐step coarsening technique, e.g., the PLLA‐solvent (dioxane/water) system was coarsened at a temperature after phase separation for a period, followed by coarsening at a lower temperature for another period. In parallel with formation of the large pores, the interconnectivity between pores was also improved, which was evidenced by scanning electron microscopy, gelatin solution pervasion, and collagen entrapment. The present technique provides the ability to produce scaffolds with high purity, controllable microstructures, and ease of modification, and hence can be widely used in tissue engineering field. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 101: 3336–3342, 2006 相似文献