查询词典 handwriting recognition

In the research of handwriting Chinese character recognition, no researcher raised a mathematical model of handwriting Chinese characters which is discussed in this paper.

在手写汉字识别的研究中，鲜有研究者提出建立手写汉字的数学模型，本文在这方面作了一些探讨。

Version 1.61 added recognition of AGEIA PhysX accelerator card, added synchronization with other sysinfo/monitoring tools in order to avoid collisions, fixed interpreting of PnP node 32-bit memory resources, enhanced support of VIA C7 and added recognition of C7-M and Eden processors, recognition of Intel 3000/3010 (Mukilteo-2/2P) chipsets, preliminary recognition of Intel Crestline chipset.

在新的版本中加入了对ATI RS350M、M18的支持；增强了对Intel 915、925和E7525芯片组的支持；加入了对LGA775平台的识别能力；加入了对AMD Sempron的支持；加入了对Trident/XGI Volari-XP5的支持；针对NV4X和ATI R4xx更新了GPU/Mem clock calculation；针对i915、i925和ICH6芯片组合增加了更多信息的显示；新版本还加入了对Winbond W83647HF硬件监视器的支持；增强了对VIA KT880芯片组的支持…… XHoy

In the face recognition research, most of the proposed algorithm focused on the average recognition rates. However, the performance and application of the recognition algorithm are affected by the worst class recognition rate significantly.

在人脸识别的研究中，虽然多数算法提高了平均识别率，但是在识别过程中，每个人的最差识别率也对算法的总体性能和应用产生了很大的影响。

The recognition mechanisms of GGR and TCR to UVB-induced photodamages were summarized: Xeroderma Pigmentosum group C, the recognition factor in GGR, executed its function avoiding direct contacting with lesions; the conversion between monomer and dimer of Cockayne syndrome B protein was underlined in the recognition of TCR; ubiquitylation mediated by DNA damage binding protein played an important role in NER recognization at chromatin level; moreover, the fate of the recognition factors was also discussed.

识别因子XPC通过一种不直接识别损伤本身的机制在GGR识别过程中发挥作用；在TCR识别过程中强调了关键因子CSB单体及二聚体两种形式的转换。在染色质水平上，DDB介导的泛素化作用是NER识别过程中重要的调控要素。另外，完成使命的识别因子的最终走向也是NER途径中的一个重要环节。通过分析上述生化过程，较清楚地总结了GGR及TCR对UVB导致的光损伤的识别机制。

In accordance with the actual project, this paper fully considers the comprehensive factors of speaker recognition system on the basis of explaining speaker recognition's principle, such as recognition rate, recognition speed, system stability etc. LPCC is used as the feature parameter. LPCC can reflect the esthesia feature of human in pronunciation and has offered a group of succinct speech signal model parameters which signify the range of frequency spectrum of the speech signal more accurately and the operation amount is not comparatively big. Combined vector quantization technology, the speech searched system has been developed.

本文依拖实际项目，在阐述说话人识别原理的基础上，充分考虑说话人识别系统的识别率、识别速度、稳定性等综合因素，采用能够反映人对语音的感知特性的线性预测倒谱系数LPCC 作为特征参数，LPCC 的重要性还在于，它提供了一组简洁的语音信号模型参数，这一组参数较精确地表征了语音信号的频谱幅度，而分析它们所需的运算量相对来讲却不大；同时结合矢量量化技术，成功开发出语音检索系统。

Face picture recognition is one of research focuses in the fields of the pattern recognition and artificial intelligence currently. By researching and analyzing the domestic and overseas research status of face picture recognition, the article discussed face picture recognition method based on neural networks.

人脸图像识别是当前模式识别和人工智能领域的一个研究热点，本文通过研究分析国内外在人脸图像识别方面的研究情况，探讨了基于神经网络的人脸图像识别方法。

In order to improve the recognition performance, a keyword recognition strategy with the dialogue context embedded in it is proposed, including the expected focus given by the dialogue manager, the active lexicon/rules determined by the understander, and the recognition automata passed to the recognizer to direct the keyword recognition.

针对目前的各种语音识别方法在对话系统中性能不佳的现实，为改善对话系统的整体性能，提出对话语境知识指导下的关键词识别策略：利用对话管理器给出期待焦点信息，确定对应焦点下的活动词表、活动规则集，生成相应的识别自动机，并用其来指导关键词识别。

We think that recognition criteria of impaired assets are combination of two-dimensional plane of the probable recognition criterion and the economic recognition criterion, while the permanent recognition criterion is a special case in which its probability is near 100 percent.

资产减值会计极大地增强了相关性，其最大的缺陷是有所削弱可靠性，但这种所失是以提高相关性为前提的，资产减值会计必须在二者之间作出抉择；资产减值会计是在现有条件和环境下对历史成本模式的改良，是现值会计模式一定条件下的提前运用；它突破了收益确定中的实现原则；是稳健原则在资产领域重要而具体的、系统的运用。

To avoid the weakness of single-entry recognition, this paper introduces a new dimension recognition model-"Multi-Entry Self-Adaptive Dimension Recognition model", which combines all separate recognition algorithm into a well-constructed framework and utilizes the structural knowledge about dimension annotations to help recognizing graphic elements.

为克服现有方法的缺陷，本文提出一个多入口尺寸识别模型，将多种单一的尺寸识别方法有机结合起来，并利用尺寸标识的结构信息辅助尺寸结构元素的识别，有效提高了算法的识别能力。

Based on the detailed analysis of existing dimension recognition methods, this paper concluded a common limitation of existing methods-"single-entry recognition", which has three distinct drawbacks. First, the only recognition entry reduces the capability to handle drawings of different qualities; second, the fixed search order for dimension elements block algorithm seeking all possible ways to find a dimension structure; third, single directional recognition of graphic elements uses no drawing context and thus can not make use of engineering knowledge.

本文分析了现有的尺寸识别方法，指出它们共有的局限性——单入口的识别过程：单一的识别入口限制了算法对不同质量图纸的适应能力；固定的元素搜索顺序阻碍了算法利用一切可能的途径寻找和识别尺寸标识结构；单向的独立于上下文的图形元素识别忽略了应用领域知识对识别过程的启发作用。

But this is impossible, as long as it is engaging in a market economy, there are risks in any operation.

但是，这是不可能的，只要是搞市场经济，是有风险的任何行动。

We're on the same wavelength.

我们是同道中人。