查询词典 beyond recognition

The integrity Printed Characters Recognition has achieved very good results, but little research has been done in the Limited-set Defaced Characters Recognition, and therefore it has great practical significance and research space.

完整的印刷体汉字识别已经取得很好的成绩，但对于有污损的有限集汉字识别，目前还很少有人做这方面研究，所以具有很大的研究空间和实用意义。

Creative point 3. Engrafting fuzzy recognition theory with information security theory, on the basis of elliptic curve cryptographic algorithm in information security theory, this paper presents t'-order iteration encryption, t-order iteration decryption algorithm of fuzzy recognition and authentication.

创新点3。将模糊识别理论与信息安全理论相互嫁接，相互交叉，以信息安全理论中的椭圆曲线加密算法为依据，提出模糊识别的t-阶迭代加密，t-阶迭代解密算法和对加密者的认证。

This paper creatively engrafts elliptic curve encryption algorithm with fuzzy recognition theory, puts forward t-order iteration encryption and t-order iteration decryption algorithm of fuzzy recognition based on elliptic curve.

本文别具心裁地将椭圆曲线加密算法与模糊识别理论相互嫁接，提出基于椭圆曲线的模糊识别t-阶迭代加密与t-阶迭代解密算法。

Results Normal imbricate epitheliums and LSIL and HSIL and cancer cells were recognized and classified, the recognition rate of training set was 98.29％, the recognition rate of test set was 96.57％.

结果 细胞按正常、低度和高度鳞状上皮细胞、癌细胞进行分类识别，训练集与测试集识别率分别为98.29％、96.57％。

This paper inflects the statue of the intangible assets and the real condition of the accounting procedures of the intangible assets in the high-tech enterprise. Through the comparison of the recognition and measurement of intangible assets, then respectively discusses the characteristics, classification, identification, and measurement, according to the characteristics of the high-tech enterprise. The thesis puts more emphasis on the recognition and measurement of intangible assets, the choice of the measurement, and the subsequent measurement, makes some suggestions concerning these problems.

本文揭示了无形资产在高新企业中所处的地位以及目前高新企业无形资产的会计处理的现实状况；随后，本文通过比较国内外对无形资产的确认与计量的不同规定，针对高新企业的特点，分别对无形资产的性质、分类、确认、计量等问题进行了论述，着重阐述了高新企业无形资产的确认、计量属性的选择以及后续计量的问题，并对此提出了改进的建议。

Target fusion recognition system is that target information from various resources for submarine is captured, them is inosculated into target attribute, and it accomplishes target recognition automatically.

潜艇目标融合识别系统提取多信息源的目标信息，融合成目标属性，自动完成目标识别。

Recognition and analysis of human faces can be widely used in such fields as personal identification recognition, safety inspection, human-computer interaction, expression analysis, lip-reading, etc.

人脸的识别和分析可以广泛应用在个人身份识别、安检、人机交互、表情分析、唇读等应用中。

Lip-reading is used for capturing information of a speaker through his/her lips movement. this technology is wildly used in speech recognition 、 ID recognition 、 Human-Computer intelligent interface and Multimedia system.

唇读技术可以通过说话人的口型运动特征对说话人的信息进行捕获，该技术被广泛应用于语音识别、身份识别、人机智能接口以及多媒体系统等领域。

The main contribution of this dissertation is listed as follow:ⅠCollecting and cleaning up a lot of literature about Biologic Recognition Technology . By comparing all kinds of Biologic Recognition Technologies, the speaker rocongnition system has more capacious market potential.

本文的主要贡献在于：(1)对生物识别技术的发展进行了概述，比较了几种主要生物识别技术的特点，并指出说话人识别技术在现代门禁系统中的潜在应用价值。

On the one hand, de noising of instantaneous parameters is optimized by a wavelet filter, which can improve the recognition ability under the low SNR; on the other hand, the existing three feature parameters σ,σ(subscript ∞) and σ are used, and three new parameters Ra, Rp and Rf are proposed based on the existing feature parameters, which can simplify the process and improve the recognition ability.

该算法一方面提出采用小波滤波器对信号的瞬时信息进行消噪处理，提高了调制识别算法在低信噪比下的识别能力；另一方面利用已有算法的3个特征参数σ、σ、和σ以及在已有算法基础上改进的3个新的特征参数Ra、Rp和Rf，简化了识别过程，改善了低信噪比下的识别效果。

Smoking cigarettes adds to the Computer Desk Computer manufacturer computer mouse Computer Computerized collar knitter machine Conduit Bodies construction board Container Bag Control Arm Cooking Thermometer general levels of air pollution as well as damaging our health.

吸烟不仅对健康有害，而且增加空气污染程度。香烟雾含有多种有害物质：不仅有致癌化学物质、有某种能阻止氧气进入血液的气体，还有引起血压增高、心速加快的被称为尼古丁的物质。

He is one of my favorite actors.

他是我最喜欢的男演员之一。