现代处理器可以实现程序转移预测(请参看参考资料)，因为底层的算法和数据是有规律的。
Modern processors practice branch prediction (see Resources), since the underlying algorithm and data have regularities.
到目前为止，我讨论了ASN1DataTypes类的底层方法并实现了利用用户的密码生成密钥的算法。
So far, I have discussed the low-level methods of the ASN1DataTypes class and implemented the algorithm for generating a secret key from the user's password.
本文详细介绍了它的需求分析和功能分析，并给出了相关接口函数和底层算法函数的实现源代码。
This paper introduces the demand analysis and function design in detail, gives the source codes of relevant interface functions and base algorithm.
提出了一种语义向量算法，构建了图像语义关键词网络，实现了图像底层视觉特征和语义的复合索引。
The thesis presents a semantic vector algorithm, builds up the network of image semantic keywords, and realizes the composite retrieval of the image low-level feature and semantics characteristics.
研究神经网络模型的结构和算法的分离与结合理论及结合神经网络结构描述语言实现底层代码的重用。
The separation of structure and algorithm in NN simulating model and how to reuse the code of NN through language description are introduced.
研究了基于多智能体CAPP与调度集成系统的高层实现算法和底层实现算法。
Furthermore, top level and bottom level algorithms to realize CAPP and scheduling integrated system are researched.
对系统中各种分析方法的核心算法“一定区域范围内单条管线的网络追踪”进行了设计和程序实现，实现了各种分析功能的底层方法库。
The kernel method "the network trace of single pipeline in delimited region" is designed and implemented, offering a radical functions library of manifold analysis methods.
由于采用FPGA实现底层图像处理算法，加速了图像处理速度，提高了传感器的性能。
The velocity of image processing is accelerated due to the introduction of FPGA, which can finish the low level algorithm, and the performance of sensor is improved.
在底层实现算法中研究了刀具选择、工艺排序和调度算法。
Tool selection, Operation sequencing and scheduling algorithms are researched in bottom level algorithms.
本文提出并实现了一套完整的行人跟踪系统，整个系统的底层是由HOG特征和颜色直方图特征构成的行人检测器，上层则采用粒子滤波器算法，结合各个行人检测器的结果得到最终检测结果。
In this article, we proposed and implemented a human tracking system whose bottom layer is human detectors based HOG feature and color histogram feature, and upper layer is based on particle filter.
本文提出并实现了一套完整的行人跟踪系统，整个系统的底层是由HOG特征和颜色直方图特征构成的行人检测器，上层则采用粒子滤波器算法，结合各个行人检测器的结果得到最终检测结果。
In this article, we proposed and implemented a human tracking system whose bottom layer is human detectors based HOG feature and color histogram feature, and upper layer is based on particle filter.
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