dimensionality reduction的意思

dimensionality reduction中文翻譯：

[數]降維

相似詞語短語

reduction───n.減少；下降；縮小；還原反應

pollution reduction───污染減輕；污染減少

oxidation reduction───氧化還原作用

balsamic reduction───濃縮意大利醋

citrate reduction───檸檬酸鹽還原

reduction crossword───減少縱橫字謎

assimilatory reduction───同化還原

reduction of───……的減少；……的降低

dimension reduction───降維；[統計]維數縮減

雙語使用場景

Feature selection and feature extraction are common methods for dimensionality reduction.───特征選擇和特征抽取是維數約簡常用的兩種方法。

novel method for dimensionality reduction of kernel matrix is presented.───提出了基于聚類的核矩陣維度縮減技術。

In this paper we present an improved dimensionality reduction method based on support vector machines.───提出了一種基于支持向量機的改進的降維方法。

Dimensionality reduction techniques applied to the item space tend to have the same effect by eliminating low-frequency items.───向商品空間應用維度降低技術，會得到與排除冷門商品那樣相同的效果。

This paper compares the most popular dimensionality reduction and pattern classification methods used in criminal suspect face recognition.───比較了犯罪嫌疑人臉部識別中常用的數據降維和模式分類方法。

The most promising solution involves performing dimensionality reduction on the data, then indexing the reduced data with a spatial method.───最有效的解決方法是對時序數據進行維歸約，然后對壓縮后的數據建立空間索引。

As a new learning framework, the diffusion method realizes dimensionality reduction in a diffusion processing.───作為一種新的流形學習框架，擴散映射通過在擴散過程中保持擴散距離進行降維。

The Locally Linear Embedding(LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.───局部線性嵌入（LLE）算法是有效的非線性降維方法，時間復雜度低并具有強的流形表達能力。

In pattern recognition and in image processing, Feature extraction is a special form of dimensionality reduction.───在模式識別和圖像處理領域中，特征提取是一種特殊的維數降階的形式。

英語使用場景

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.