...数据降维; 奇异值分解; 可编程门阵列 T P751. 1 文献标识码 A doi: 10. 3788/ CJL 20093611. 2983 中图分类号 [gap=1067]Key words spectroscopy; hyperspectral image; data dimensionality reduction; singular value decomposition; field programmable gate array ..
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data dimensionality reduction 数据降维 ; 数据维数缩减 singular dimensionality reduction method 单级降维技术 ..
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It is important to correctly embed intrinsic local relation in data dimensionality reduction mapping of manifold learning.
在流形学习数据降维映射中,最重要的是要正确地嵌入内蕴局部邻域关系。
参考来源 - 嵌入邻域判别关系的子空间人脸识别算法研究Data dimensionality reduction technology researches how to reduce the data dimension and extract the implicit and helpful information with losing information as little as possible.
数据降维技术研究如何在保证数据信息丢失尽可能小的前提下,降维数据维数,提取那些隐含的、有用的信息。
参考来源 - 主成分分析算法的FPGA实现·2,447,543篇论文数据，部分数据来源于NoteExpress
2014-2016, Image Hashing Theories and Methods Based on Data Dimensionality Reduction and Compressive Sensing, National Natural Science Foundation of China (NSFC), PI.
基于数据降维和压缩感知的图像哈希理论与方法，国家自然科学基金（青年科学基金项目）， 2014-2016， 主持。
Most of the real-world data, such as images and videos, are always represented by tensor and high-dimensionality form, which make tensor data dimensionality reduction the hot issue in recent research.
实际应用中的许多数据，如图像，视频，通常具有张量性和高维性特征，张量数据的维数约简便成为近期的研究热点。
The algorithm is impractical on large data sets, unless it USES dimensionality reduction, sampling, or partitioning - all of which reduce recommendation quality.
在大数据集的情况下，这样的算法不可行，除非使用维度降低、抽样或区隔——所有这些都降低了推荐的品质。
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