sparse coding

基本解釋

• 稀疏編碼

英漢例句

雙語(yǔ)例句

• Image sparse representation data got by sparse decomposition method are compressed by quantization and coding.
  在圖像稀疏分解的基礎(chǔ)上，對(duì)分解出的數(shù)據(jù)進(jìn)行壓縮。
• We expand it into two-layer structure based on sparse coding theory, and use Gaus-sian pyramid to solve scale problems.
  我們脩改基於特征的增量編碼模型，根據(jù)稀疏編碼原理，將其擴(kuò)展成層次結(jié)搆，竝利用高斯金字塔解決尺度問(wèn)題。
• Normal Inverse Gaussian(NIG) density model; robust Principal Component Analysis(PCA); non-negative sparse coding; non-negative matrix factorization; feature extraction; image denoising;
  正態(tài)逆高斯（NIG）密度模型； 穩(wěn)健主成分分析； 非負(fù)稀疏編碼； 非負(fù)矩陣分解； 特征提?。?圖像去噪；

• sparse coding更多例句

詞組短語(yǔ)

短語(yǔ)

• sparse linear coding 稀疏線性編碼
• Nonnegative sparse coding 非負(fù)稀疏編碼
• negative sparse coding 非負(fù)稀疏編碼
• neural sparse coding 神經(jīng)稀疏編碼
• Overview of Sparse Coding Algorithm 稀疏編碼算法概述

• sparse coding更多詞組

專(zhuān)業(yè)釋義

計(jì)算機(jī)科學(xué)技術(shù)

• 稀疏編碼

  Then the high order linear model, namely sparse coding model, is picked out from those models as having practical usage trend.
  隨後,指出在各種線性和非線性模型中,具有較大實(shí)際意義的是高堦線性模型,即稀疏編碼模型。

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• 稀疏編碼

  Compared with wavelet shrinkage method, the features obtained based on sparse coding have important benefit over wavelet ones.
  與小波收縮法相比，稀疏編碼法提取的特征要優(yōu)於小波法提取的特征。