1) NPP(Neighborhood Preserving Projections)
近邻保持投影
2) Neighborhood Preserving Projections(NPP)
保持近邻投影
1.
Neighborhood Preserving Projections(NPP) is a method for unsupervised linear dimensionality reduction, which can preserve the local neighborhood structure on the data manifold.
保持近邻投影是一种无监督线性降维方法,具有保持数据流形上局部近邻结构特性,但应用到分类任务时具有局限性,如忽略类标签的信息。
3) Kernel Neighborhood Preserving Projection (KNPP)
核邻域保持投影
4) neighborhood preserving embedding
近邻保持嵌入
5) locality preserving projection
局部保持投影
1.
In order to preserve the local structure of the image space,locality preserving projection(LPP) is applied to palmprint recognition.
为了保持掌纹空间的局部结构,运用局部保持投影(LPP)方法进行掌纹识别。
2.
Aiming at the sensitivity of manifold learning, such as locality preserving projection(LPP), to noises or outliers, a robust version of LPP, called Robust LPP (RLPP), was proposed.
针对局部保持投影的流形学习算法对于噪声与异常值的敏感性,提出了一种鲁棒的局部保持投影算法。
3.
This paper proposes a supervised direct locality preserving projection algorithm for image recognition.
提出一种用于图像识别的有监督直接局部保持投影算法,该算法结合样本类别信息,通过同时对角化的方法求解局部保持投影问题,避免矩阵的奇异性。
6) locality preserving projections
局部保持投影
1.
Secondly, uncorrelated locality preserving projections (ULPP) was proposed based on locality preserving projections.
基于局部保持投影的统计不相关位置保持投影。
补充资料：近邻
挨得较近的邻居：远亲不如～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条