A two-stage shape retrieval (TSR) method with global and local features

A robust two-stage shape retrieval (TSR) method is proposed to address the 2D shape retrieval problem. Most state-of-the-art shape retrieval methods are based on local features matching and ranking. Their retrieval performance is not robust since they may retrieve globally dissimilar shapes in high ranks. To overcome this challenge, we decompose the decision process into two stages. In the first irrelevant cluster filtering (ICF) stage, we consider both global and local features and use them to predict the relevance of gallery shapes with respect to the query. Irrelevant shapes are removed from the candidate shape set. After that, a local-features-based matching and ranking (LMR) method follows in the second stage. We apply the proposed TSR system to MPEG-7, Kimia99 and Tari1000 three datasets and show that it outperforms all other existing methods. The robust retrieval performance of the TSR system is demonstrated.     

浅析图像领域PCT申请的补充检索

图像领域PCT申请通常存在丰富的已有信息,且技术方案复杂度较高.针对图像领域PCT申请补充检索的典型情况,给出了相应的补充检索策略,并通过实际案例验证了上述补充检索策略的有效性.审查员应灵活运用相应的补充检索策略,提高检索的有效性.     

国外互联网新业务信息安全管理对策

由于互联网新业务具有较强的不可预见性．因此对于互联网新业务发展中所带来的信息安全问题。互联网新业务种类不断翻新，从监管的视角出发，互联网新业务基本可以划分为三个大类：社区类、信息发布类和信息检索类。本文将分别介绍国外对社区类、信息发布类和信息检索类互联网新业务的管理对策。     

词频规范化改善信息检索查准率

研究了词频规范化，通过实例指出并分析了极大规范化词频、对数词频和平均词频这3种现有的词频规范化方法的不足，在理论上探究了影响词频规范化的因素。通过引入新参数的方法对词频规范化予以改进，以试错法给出了3种可能的词频规范化形式，并经数学推导，最终给出了改进的词频规范化方法，并通过实验验证了改进的词频规范化形式的有效性。     

Segmentation of synthetic aperture radar image using multiscale information measure-based spectral clustering

A multiscale information measure （MIM）, calculable from per-pixel wavelet coefficients, but relying on global statistics of synthetic aperture radar （SAR） image, is proposed. It fully exploits the variations in speckle pattern when the image resolution varies from course to fine, thus it can capture the intrinsic texture of the scene backscatter and the texture due to speckle simultaneously. Graph spectral segmen- tation methods based on MIM and the usual similarity measure are carried out on two real SAR images. Experimental results show that MIM can characterize texture information of SAR image more effectively than the commonly used similarity measure.     

Inflow conditions for spatial direct numerical simulation of turbulent boundary layers

The inflow conditions for spatial direct numerical simulation (SDNS) of turbulent boundary layers should reflect the characteristics of upstream turbulence, which is a puzzle. In this paper a new method is suggested, in which the flow field obtained by using temporal direct numerical simulation (TDNS) for fully developed turbulent flow (only flow field for a single moment is sufficient) can be used as the inflow of SDNS with a proper transformation. The calculation results confirm that this method is feasible and effective. It is also found that, under a proper time-space transformation, all statistics of the fully developed turbulence obtained by both temporal mode and spatial mode DNS are in excellent agreement with each other, not only qualitatively, but also quantitatively. The normal-wise distributions of mean flow profile, turbulent Mach number and the root mean square (RMS) of the fluctuations of various variables, as well as the Reynolds stresses of the fully developed turbulence obtained by using SDNS, bear similarity in nature. Supported by the National Natural Science Foundation of China (Grant No. 90205021), the China Postdoctoral Science Foundation (Grant No. 20060400707), and the Foundation for the Author of National Excellent Doctoral Dissertation of China (Grant No. 200328), and partially supported by Liu-Hui Center of Applied Mathematics, Nankai University and Tianjin University     

Assessing the ability of chemical similarity measures to discriminate between active and inactive compounds

Summary A method for assessing the biological discriminating power of chemical similarity measures is presented. The main concern of this work was to develop an objective way of evaluating different similarity measures in terms of how well they distinguished between active and inactive compounds. In addition, we have explored the level of similarity required for optimal separation and commented on its implications for work in the field of chemical diversity studies. The results for one simple similarity measure showed that statistically significant separation could be achieved, and indicated a reasonable similarity value for future work.     

Partial match retrieval

The study of partial match file designs is continued. This study is concerned with a class of file designs which properly contains theABD designs of Rivest. A new family of partial match files is presented, the worst case performance is determined, and the implementation of these files is discussed.