1) local discriminant embedding
局部鉴别嵌入
2) locally embedding
局部嵌入
1.
On the basis of locally embedding manifold learning algorithms,a data dimensionality reduction algorithm based on direct estimate grads is proposed.
该文在局部嵌入思想的流形学习算法的基础上,提出直接估计梯度值的方法,从而达到局部线性误差逼近最小化,实现高维非线性数据的维数约简,并在Swissroll曲线上采样测试取得了良好的降维效果。
3) Discriminant projection embedding
鉴别投影嵌入
4) Locally linear embedding
局部线性嵌入
1.
Ear recognition based on locally linear embedding and nearest feature line;
基于局部线性嵌入和最近特征线的人耳识别
2.
Manifold Learning and Applications of Locally Linear Embedding Algorithm;
局部线性嵌入的流形学习算法研究与应用
3.
Locally linear embedding(LLE)is a newly proposed nonlinear dimension reduction algorithm,which is a kind of manifold learning algorithm.
局部线性嵌入(LLE)是一种新的非线性降维方法,属于流形学习方法,它能有效地发现高维数据中的本真低维结构。
5) local linear embedding
局部线性嵌入
1.
By analyzing the invalidity reason of the local linear embedding(LLE) algorithm in case of the sparse data or the high noise data,small world neighborhood optimization LLE algorithm(SLLE) is proposed based on the complex networks theory.
通过分析稀疏数据或噪声数据,导出局部线性嵌入(LLE)算法出现失效的原因,由此提出了一种基于小世界邻域优化的局部线性嵌入(SLLE)算法。
2.
In the first, using the color adaptive models based on white balance method detects skin color pixels of the importation color images; then, get the skin color candidate regions; using the local linear embedding algorithm based on Image Euclidean distance reduces the dimensions o.
首先采用构建好的基于白平衡的自适应的肤色模型对输入图片进行肤色检测,将肤色候选区域,使用基于图像欧氏距离的局部线性嵌入算法进行数据降维,再将降维后的数据送入训练好的支持向量机分类器进行分类。
6) Locally Linear Embedding(LLE)
局部线性嵌入
1.
The Locally Linear Embedding(LLE) algorithm based on Manifold learning is introduced firstly in this paper,because the conventional LLE algorithm will be ineffective when the source data is spare.
从分析基于流形学习理论的局部线性嵌入算法入手,针对传统的局部线性嵌入算法在源数据稀疏时会失效的缺点,提出了基于局部线性逼近思想的流形学习算法,并在S-曲线上采样测试取得良好降维效果。
补充资料：局部
一部分；非全体：～麻醉 ㄧ～地区有小阵雨。
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