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feature vector相关的网络例句

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与 feature vector 相关的网络例句 [注:此内容来源于网络,仅供参考]

First, use OTSU method to make license plate image binarization, and then use genetic algorithm to map the entire license plate matching search feature. With a fitness function formed by the area character vector, the optimal locating parameter of the plate area was found.

先用最大类间方差法对车牌图像进行二值化,然后利用遗传算法对全图进行车牌特征匹配搜索,结合区域特征向量构造的适应度函数,最终找到车牌区域的最佳定位参量。

This paper first extracts frames from digital video,locates and extracts oral area,then classifies oral area into lip and non-lip area by the Support Vector Machine.At last,based on knowledge about the structure of the mouth area to realize feature points location.

首先将视频文件分解为一帧帧的图片序列,定位并提取出图片中的口形区域,然后利用支持向量机将口形区域分为唇部和非唇部区域,最后根据口形图像几何特征的先验知识实现口形特征点的定位。

Firstly, took the data of body model and garment model, and then finished the match with the curvature feature of triangular mesh by making mapping between body model and garment model, this process was a rigid transformation. In fact, it comprised the rotation matrix and translation vector. Finally, under the VC6.0, set up the platform of 3D clothing fitting by the super 3D building of OpenGL.

首先提取Poser 6.0中的三维人体模型和服装模型数据;然后通过三维网格模型的曲率特征在人体模型与服装模型之间建立映射关系来完成匹配,这个过程是一种刚体变换即获取旋转矩阵和平移矢量两部分;最后在VC++6.0的开发环境下,利用OpenGL强大的三维建模功能实现了三维试衣平台的搭建。

Density split method classes dust information by feature of dust storm in far-infrared band, which only describes qualitatively the intensity distribution of dust storm. Change Vector Analysis is a better method for detecting dust storm intensity, which requires highly for data qualitative and is hard to put in commercialization.

密度分割法利用沙尘暴信息在远红外通道特性,对沙尘信息进行分级,只能定性描述沙尘暴的强弱分布;变化矢量分析是一种较好的沙尘暴强度监测方法,但由于它对数据的要求苛刻,难以业务化。

Through merging the grids over the physically less important subregions and computing new topology skeleton of the vector field defined on this area, a physical feature preserving topological simplification is performed perfectly. Meanwhile, a remarkable data compression is implemented as well.

通过合并次要物理特征所在区域上的网格及在新网格布局下重新提取向量场拓扑,该算法不仅能完好地保持场内的重要特征,还能同时实现向量场的数据压缩。

According to the features of natural language, conduct a deep study and comparison in many fields such as the algorithm optimization, features'representation and selection, multi-class problem, parameter selection and probabilistic output of support vector machine such that the general machine learning technology can be applied into natural language processing tasks. 2. According to the feature of lexical tagging , propose a novel disambiguate algorithm that improves the performance and efficiency of this task and provides a good fundament for deeper analysis.

针对自然语言处理任务的特点,对于算法优化、特征的表示和选择、多分类问题、参数选择和支持向量机的概率输出等问题进行深入的研究和比较,使自然语言处理任务可以应用通用的高精度机器学习方法得以解决。

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