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Local projection preserving method facing identification and having statistical noncorrelation

A technology of locally maintaining projection and correlation, applied in the field of pattern recognition, can solve problems such as statistically irrelevant locally maintaining projection methods, etc., and achieve broad market prospects and application value, small redundancy, and improve recognition performance.

Inactive Publication Date: 2009-08-26
DONGHUA UNIV
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Problems solved by technology

Discrimination-oriented statistically independent locality-preserving projection methods have not been found in further searches

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  • Local projection preserving method facing identification and having statistical noncorrelation
  • Local projection preserving method facing identification and having statistical noncorrelation
  • Local projection preserving method facing identification and having statistical noncorrelation

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[0037] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0038] This embodiment is applied to identify the spacecraft model in the STK model library. STK is a satellite simulation toolkit produced by AGI Corporation of the United States. This toolkit can not only calculate the orbit, attitude and communication link of the satellite, but also calculate the The real ephemeris information calculates the position and actual illumination of each celestial body. In addition, the toolkit c...

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Abstract

The invention relates to a local projection preserving method facing identification and having statistical noncorrelation. The method comprises a weighting adjacent map building module, a matrix building module of a training sample, a projection matrix acquiring module and a data sorting module. The method introduces sort messages of training data during building the weighting adjacent map and can more accurately portray the relationship between data. The method can extract characteristics meeting the statistical noncorrelation, so that the extracted characteristics have the minimum redundancy when preserving the local message of the original data space. The method can improve identification performance if being applied to the identification problems. The method can be applied to various civilian and military systems, such as video monitoring systems, video conference systems, military target tracking and identifying systems and the like and has wide market prospect and application value.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, in particular to an identification-oriented and statistically irrelevant local-preserving projection method. Background technique [0002] As one of the key technologies of pattern recognition, the feature extraction method is to map the original high-dimensional data to a low-dimensional feature space, which has become a research hotspot in machine learning and pattern recognition. Commonly used feature extraction methods can be divided into two categories: analysis methods based on global structural information and analysis methods based on local structural information. Among the analysis methods based on global structural information, Principal Component Analysis (PCA) is a classic feature extraction and data representation technique, which preserves the global structure of the original data space, and any two different basis vectors of the projection matrix is statistically irrel...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 孙韶媛方建安谷小婧
Owner DONGHUA UNIV
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