1、

Innovation net is the carrier of clustering industrial innovation, the avalanche of innovation net is affected by cluster technology space dimensionality and life cycle of leading technology. Net learning and synergy innovation are the running mechanism of clustering industrial innovation.

提出创新网络是集群式产业创新的载体,分析总结了创新网络的涌现受到集群技术空间维度与主导技术生命周期的影响,创新网络的涌现与进化贯穿于整个集群式产业创新过程。

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2、

Art space is insubstantial, but it is real art quality. Therefore, the two dimensionality is access to art feild.

艺术空间都是虚幻的,是艺术的空间,而二维性是接近艺术本质的。

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3、

Secondly, the dimensionality of time fade out and space become projecting.

第二,无论从内容上,还是从故事的结构方式上,时间维度有所淡化而空间维度被突现。

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4、

It takes much time to detect edges of color images directly. To resolve this problem, reduce the dimensionality of color image space ( RGB), while keep the gray moments of tristimulus values invariable to reserve as much as possible the main characteristics of the original images.

针对彩色图像边缘检测计算量大的弱点,对彩色图像空间(RGB)进行三基色降维处理,保持图像的各个基色的灰度矩不变,以最大限度地保留原图像的主要特征。

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5、

The extension of reinforcement learning to MDPs with large state, action space and high complexity has inevitably encountered the problem of the curse of dimensionality, which results in slow convergence and long training time.

传统的强化学习算法应用到大状态、动作空间和任务复杂的马尔可夫决策过程问题时,存在收敛速度慢,训练时间长等问题。

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6、

the processive learning assessment can be understood from five dimensionality: the value tropism of assessment, the time of assessment, the space of assessment, the content of assessment and the method of assessment.

过程性学习评价可以从五个维度来理解:评价的价值取向、评价发生的时间、评价发生的空间、评价指向的内容以及评价使用的方法。

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7、

Dimensionality reduction process can be divided into two steps. The first step is to select pivot points to determine the coordinate axes in a target space.

降维过程主要分为两步,首先通过选择枢纽点确定目标空间中的坐标轴,然后计算数据集中的样本点在这些坐标轴上的投影坐标。

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8、

The detailed content can be illustrated as follows. Firstly, already proposed dimensionality reduction cause unboundedness of searching space, so subsequence similarity search algorithm can not effectively filter the point in the index.

首先,原有降维技术造成序列数据搜索空间无界性,使得子序列相似查询算法在索引遍历时不能充分实现点过滤。

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