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34 results about "Maximally informative dimensions" patented technology

Maximally informative dimensions is a dimensionality reduction technique used in the statistical analyses of neural responses. Specifically, it is a way of projecting a stimulus onto a low-dimensional subspace so that as much information as possible about the stimulus is preserved in the neural response. It is motivated by the fact that natural stimuli are typically confined by their statistics to a lower-dimensional space than that spanned by white noise. Within this subspace, however, stimulus-response functions may be either linear or nonlinear. The idea was originally developed by Tatyana Sharpee, Nicole Rust, and William Bialek in 2003.

Cross-age face recognition method

ActiveCN106650650ASolve the problem of low face recognition rate across agesSolve the low recognition rateCharacter and pattern recognitionPattern perceptionCosine Distance
The invention provides a cross-age face recognition method. According to the method, a cross-age face recognition system composed of two modules (a maximum entropy feature description module and an aging perception de-noising automatic coding module) is obtained by training a large amount of face images including four age groups, thereby realizing recognition on any two different age face images. The maximum entropy feature description module allocates codes including maximum information amount by using maximum entropy splitting of a decision tree, the aging perception de-noising automatic coding module reconstructs a feature descriptor of any age group into feature descriptors of four different age groups, the descriptors are integrated to obtain a face integrated feature vector for eliminating aging influencing, and face recognition is finally realized by calculating the cosine distance of integrated feature vectors of different faces. The method can well reduce the information loss problem of some traditional descriptors, eliminates the influence of the aging factor in cross-age face recognition, and has good performance in the cross-age face recognition problem.
Owner:SYSU CMU SHUNDE INT JOINT RES INST +1

Three-dimension microscopic observation method of plant leaf stoma in vivo

InactiveCN102221347AGuaranteed maximum amount of informationGuaranteed amount of informationUsing optical meansStomaMicroscopic observation
The invention relates to a three-dimension microscopic observation method of plant leaf stoma in vivo. The method comprises the following steps that: firstly, optical amplifier components are connected with a focusing guide rail and a varifocus lens is connected with a CCD image acquisition sensor; the focusing guide rail is connected with a connection plate and the connection plate is connected with a horizontal fine tuning guide rail; then, a measured plant is placed on a measured-object load-bearing platform and a observation area of a measured leaf is fixed; the CCD image acquisition sensor is connected with an upper computer so as to real-timely collecting and observing leaf stomata through image acquisition software; finally, an image of a leaf surface can be acquired through automatically focusing or manually focusing and a three dimensional image of leaf surface stoma states can be obtained after performing image denosing, curve smoothing and curve fitting on collected data. By using the method of the invention, when the plant leaves are not separated with the plant body, stoma state images can be continuously collected, and normal plant growth state can be two-dimensionally observed or leaf stoma change status under a specific experiment state can be two-dimensionally observed. Therefore, maximum information of the leaf stomata can be guaranteed.
Owner:CHINA JILIANG UNIV

Aircraft modeling method based on variable measurement number maximum information criterion

InactiveCN102867130AEasy to set upAvoid incorrect technical questionsSpecial data processing applicationsDiscriminantModel method
The invention discloses an aircraft modeling method based on a variable measurement number maximum information criterion. The aircraft modeling method is used for solving the technical problems of poor proving correctness of pneumatic models and parameters provided by flight tests due to the maximum information criterion when observation vectors of existing different flight tests are not the same. The technical scheme includes that during aircraft model modeling and model validation, different flight test factor amendment modeling and model validation criteria of an aircraft are acquired by analyzing the influence of different observation vectors to the maximum information content criterion, and scalar model selection and testing discriminant is acquired through U-D decomposition of measurement variance estimation Rj and Rj+1. By the method, aerodynamic force models and moment models of the aircraft can be established directly conveniently according to flight test data, the technical problem that the aerodynamic force models are established and tested incorrectly according to different flight test data due to the fact that influence of different observations to the maximum information criterion is not considered directly.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Aircraft modeling method based on maximum information content-credibility criterion of variable metrical data

InactiveCN102890452AEasy to set upAvoid incorrect technical questionsSimulator controlGuidelineModel method
The invention discloses an aircraft modeling method based on a maximum information content-credibility criterion of variable metrical data, which is used for solving the technical problem of poor accuracy of parameter calibration of aerodynamic models provided by flight tests caused by the maximum information content criterion when the observation vectors of the conventional different flight tests are different. According to the technical scheme, the method comprises the following steps of: analyzing the influence of the difference of the observation vectors on the maximum information content criterion during modeling and model validation of an aircraft, and introducing a credibility parameter to obtain a criterion on modeling rectification and model verification according to different flight test factors of the aircraft; and decomposing U-D of measured variance estimation Rj and Rj+1 to obtain a scalar model selection and verification discriminant. The method provided by the invention is convenient for directly establishing aerodynamic and moment models of the aircraft according to flight test data, and avoids the technical problem that the aerodynamic model is incorrectly established and verified by different flight test data due to that the different observations are not directly considered in the maximum information content criterion.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Aircraft modeling method based on variable data length maximum information amount-credibility criterion

InactiveCN102867129AEasy to set upAvoid incorrect technical questionsSpecial data processing applicationsModel methodDecomposition
The invention discloses an aircraft modeling method based on a variable data length maximum information amount-credibility criterion. The method is used for solving the technical problems that the existing maximum information amount criterion does not consider data length so that proving correctness of a pneumatic model and parameters of flying tests is poor. The technical scheme is that by considering the data length in the maximum information amount criterion and introducing credibility parameters, and a modeling criterion is revised according to different flying test factors of an aircraft. U-D decomposition of Rj and Rj+1 is estimated on measuring variance, and scalar model selecting and verification discriminant are obtained. The aircraft modeling method is favorable for building aircraft aerodynamic force and moment models according to flying test data directly, and the technical problems that the maximum information amount criterion does not consider data length directly so as to be wrong to establish and verify pneumatic models with different flying test data are solved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

A method and a system for information transmission based on graphics encoded data

The invention discloses a method and a system for transmitting information based on graphics encoded data. The method comprises the following steps: obtaining application description information; determining a plurality of applications wishing to transmit information through the graphics encoded data based on the application description information; and determining a plurality of applications wishing to transmit information through the graphics encoded data. According to the information transmission requirements of each application, determining the maximum amount of information needed by eachapplication to transmit information through a single graphic encoded data; parsing a graphical interface of each application for providing graphical encoded data to determine a display range that eachapplication can use to display graphical encoded data; determining an encoding ratio of an image region for graphics encoded data for each application based on a display range and a maximum amount ofinformation; and generating raw graphics encoded data conforming to the encoding scale when a specific application of the plurality of applications desires information transfer, and performing information transfer based on the raw graphics encoded data conforming to the encoding scale.
Owner:BEIJING QIHOO TECH CO LTD

Three-dimension microscopic observation method of plant leaf stoma in vivo

InactiveCN102221347BGuaranteed maximum amount of informationGuaranteed amount of informationUsing optical meansStomaMicroscopic observation
The invention relates to a three-dimension microscopic observation method of plant leaf stoma in vivo. The method comprises the following steps that: firstly, optical amplifier components are connected with a focusing guide rail and a varifocus lens is connected with a CCD image acquisition sensor; the focusing guide rail is connected with a connection plate and the connection plate is connected with a horizontal fine tuning guide rail; then, a measured plant is placed on a measured-object load-bearing platform and a observation area of a measured leaf is fixed; the CCD image acquisition sensor is connected with an upper computer so as to real-timely collecting and observing leaf stomata through image acquisition software; finally, an image of a leaf surface can be acquired through automatically focusing or manually focusing and a three dimensional image of leaf surface stoma states can be obtained after performing image denosing, curve smoothing and curve fitting on collected data. By using the method of the invention, when the plant leaves are not separated with the plant body, stoma state images can be continuously collected, and normal plant growth state can be two-dimensionally observed or leaf stoma change status under a specific experiment state can be two-dimensionally observed. Therefore, maximum information of the leaf stomata can be guaranteed.
Owner:CHINA JILIANG UNIV

Aircraft modeling method based on maximum information content-credibility criterion of variable metrical data

InactiveCN102890452BEasy to set upAvoid incorrect technical questionsSimulator controlModel methodModel selection
The invention discloses an aircraft modeling method based on a maximum information content-credibility criterion of variable metrical data, which is used for solving the technical problem of poor accuracy of parameter calibration of aerodynamic models provided by flight tests caused by the maximum information content criterion when the observation vectors of the conventional different flight tests are different. According to the technical scheme, the method comprises the following steps of: analyzing the influence of the difference of the observation vectors on the maximum information content criterion during modeling and model validation of an aircraft, and introducing a credibility parameter to obtain a criterion on modeling rectification and model verification according to different flight test factors of the aircraft; and decomposing U-D of measured variance estimation Rj and Rj+1 to obtain a scalar model selection and verification discriminant. The method provided by the invention is convenient for directly establishing aerodynamic and moment models of the aircraft according to flight test data, and avoids the technical problem that the aerodynamic model is incorrectly established and verified by different flight test data due to that the different observations are not directly considered in the maximum information content criterion.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Aircraft modeling method based on variable measurement number maximum information criterion

InactiveCN102867130BEasy to set upAvoid incorrect technical questionsSpecial data processing applicationsDiscriminantModel method
The invention discloses an aircraft modeling method based on a variable measurement number maximum information criterion. The aircraft modeling method is used for solving the technical problems of poor proving correctness of pneumatic models and parameters provided by flight tests due to the maximum information criterion when observation vectors of existing different flight tests are not the same. The technical scheme includes that during aircraft model modeling and model validation, different flight test factor amendment modeling and model validation criteria of an aircraft are acquired by analyzing the influence of different observation vectors to the maximum information content criterion, and scalar model selection and testing discriminant is acquired through U-D decomposition of measurement variance estimation Rj and Rj+1. By the method, aerodynamic force models and moment models of the aircraft can be established directly conveniently according to flight test data, the technical problem that the aerodynamic force models are established and tested incorrectly according to different flight test data due to the fact that influence of different observations to the maximum information criterion is not considered directly.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
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