dimensionality reduction发音

意思翻译

[数]降维

相似词语短语

reduction───n.减少；下降；缩小；还原反应

pollution reduction───污染减轻；污染减少

oxidation reduction───氧化还原作用

balsamic reduction───浓缩意大利醋

citrate reduction───柠檬酸盐还原

reduction crossword───减少纵横字谜

assimilatory reduction───同化还原

reduction of───……的减少；……的降低

dimension reduction───降维；[统计]维数缩减

双语使用场景

Feature selection and feature extraction are common methods for dimensionality reduction.───特征选择和特征抽取是维数约简常用的两种方法。

novel method for dimensionality reduction of kernel matrix is presented.───提出了基于聚类的核矩阵维度缩减技术。

In this paper we present an improved dimensionality reduction method based on support vector machines.───提出了一种基于支持向量机的改进的降维方法。

Dimensionality reduction techniques applied to the item space tend to have the same effect by eliminating low-frequency items.───向商品空间应用维度降低技术，会得到与排除冷门商品那样相同的效果。

This paper compares the most popular dimensionality reduction and pattern classification methods used in criminal suspect face recognition.───比较了犯罪嫌疑人脸部识别中常用的数据降维和模式分类方法。

The most promising solution involves performing dimensionality reduction on the data, then indexing the reduced data with a spatial method.───最有效的解决方法是对时序数据进行维归约，然后对压缩后的数据建立空间索引。

As a new learning framework, the diffusion method realizes dimensionality reduction in a diffusion processing.───作为一种新的流形学习框架，扩散映射通过在扩散过程中保持扩散距离进行降维。

The Locally Linear Embedding(LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.───局部线性嵌入（LLE）算法是有效的非线性降维方法，时间复杂度低并具有强的流形表达能力。

In pattern recognition and in image processing, Feature extraction is a special form of dimensionality reduction.───在模式识别和图像处理领域中，特征提取是一种特殊的维数降阶的形式。

英语使用场景

In this paper, a new dimensionality reduction method for calculating the radiant heat transfer with two dimensional characteristics was defined on the basis of a plane angle.

In this paper we proposed a new method, dimensionality reduction with DCT, and further provided the method of similarity search about range query and nearest neighbor query.

A novel method for dimensionality reduction of kernel matrix is presented.

Maximum likelihood performs a nonlinear dimensionality reduction, choosing permutations that compact the permuted image vectors into a volumetrically minimal subspace.

In order to reduce computational effort , piecemeal dimensionality reduction Newton method was used to solve model.