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78 results about "Feature class" patented technology
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Method for spell-checking location-bound words within a document
InactiveUS7681126B2Easy to useSignificant laborNatural language data processingSpecial data processing applicationsLocation trackingTheoretical computer science
Owner:EDGETECH AMERICA
Information processing apparatus, information processing method, pattern recognition apparatus, and pattern recognition method
InactiveUS20050283450A1Image analysisDigital computer detailsPattern recognitionInformation processing
In a hierarchical neural network having a module structure, learning necessary for detection of a new feature class is executed by a processing module which has not finished learning yet and includes a plurality of neurons which should learn an unlearned feature class and have an undetermined receptor field structure by presenting a predetermined pattern to a data input layer. Thus, a feature class necessary for subject recognition can be learned automatically and efficiently.
Owner:CANON KK
System and method for displaying images utilizing multi-blending
InactiveUS20050093890A1Geometric image transformation2D-image generationPattern recognitionFeature class
A system and method for processing images utilizing varied feature class weights is provided. A computer system associates two or more images with a set of feature class data, such as color and texture data. The computer system assigns a set of processing weights for each of the feature classes. The two or more images are blended according to the feature class weights. The blended image can be further adjusted according to the content of the images.
Owner:MICROSOFT TECH LICENSING LLC
Parcel data acquisition and processing
ActiveUS7890509B1Low costDigital data processing detailsOffice automationGraphicsGraphical user interface
In some embodiments, scripts may be used to perform parcel data acquisition, conversion, and clean-up / repair in an automated manner and / or through graphical user interfaces. The scripts may be used, for example, to repair geometries of new parcel data, convert multi-part parcel geometries to single part parcel geometries (explode), eliminate duplicate parcel geometries, append columns, create feature classes, and append feature classes. These scripts may be executed in a predetermined manner to increase efficiency. In some embodiments, different combinations of attributes may be appended to stored parcel data. In some embodiments, a tracking application may be used to track information about sources of data. In some embodiments, a tracking application may be used to track which system users are assigned to specific tasks (e.g., in a data acquisition project).
Owner:CORELOGIC SOLUTIONS
Hyperspectral remote sensing image SVM classification method by combining spectrum and texture features and hyperspectral remote sensing image SVM classification system thereof
InactiveCN106503739AAchieve fine classificationAccurate descriptionCharacter and pattern recognitionClassification methodsFeature class
The invention discloses a hyperspectral remote sensing image SVM classification method by combining spectrum and texture features and a hyperspectral remote sensing image SVM classification system thereof. The method comprises the following steps that S1, original hyperspectral images to be classified and a ground survey data sample set are inputted; S2, the image elements of the corresponding coordinate positions in the original hyperspectral images are extracted so as to form a reference data sample set; S3, a training sample set is randomly selected for each ground feature class; S4, principal component transformation is performed, and first principal component images are extracted; S5, a region segmentation image is acquired; S6, filtering images are acquired; S7, statistics of spectrum feature information and texture feature information of each segmentation region are performed; S8, a support vector machine model is solved; S9, the original hyperspectral images are classified so that the classified hyperspectral images are obtained; and S10, the classified images are outputted. The new strategy for combining the spectrum and texture features is provided so that the hyperspectral image classification precision can be effectively enhanced.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)
System and method for creating and updating a three-dimensional model and creating a related neutral file format
The present invention discloses a method for building, defining, and storing features in an application neutral format comprising building a feature based on a feature class, wherein the feature class comprises feature geometry, feature constraints, and feature dimensions, defining the built feature as a geometric representation of an individual feature type, and storing the representation in a binary file format.
Owner:IMAGECOM
Information processing apparatus, information processing method, pattern recognition apparatus, and pattern recognition method
Owner:CANON KK
Parcel data acquisition and processing
InactiveUS20120066187A1Improve efficiencyLow costDigital data processing detailsOffice automationGraphicsGraphical user interface
In some embodiments, scripts may be used to perform parcel data acquisition, conversion, and clean-up / repair in an automated manner and / or through graphical user interfaces. The scripts may be used, for example, to repair geometries of new parcel data, convert multi-part parcel geometries to single part parcel geometries (explode), eliminate duplicate parcel geometries, append columns, create feature classes, and append feature classes. These scripts may be executed in a predetermined manner to increase efficiency. In some embodiments, different combinations of attributes may be appended to stored parcel data. In some embodiments, a tracking application may be used to track information about sources of data. In some embodiments, a tracking application may be used to track which system users are assigned to specific tasks (e.g., in a data acquisition project).
Owner:CORELOGIC SOLUTIONS
Indoor map and making method thereof
InactiveCN103337221AMeet the needs of map cognitionReal-time indoor navigationMaps/plans/chartsCarrying capacityCognition
The invention relates to an indoor map and a making method thereof. The making method comprises the steps of acquiring and obtaining cartographic data of a cartographic area, classifying and layering the cartographic data, further dividing each feature class into a plurality of feature layers, determining an adopted indoor map type, namely an indoor layout map, an indoor route map or an indoor escape map, determining map data of the cartographic area according to the feature layer corresponding to the selected indoor map type, expressing priority according to the feature layers in the map data, determining specific cartographic contents of the maps in different scales, and generating and outputting the indoor map according to the determined specific map contents. According to the indoor map and the making method thereof, the indoor data is classified and layered, so that the method is applicable to various indoor environments; carrying capacities of the maps in different scales are considered; expression priorities are set for indoor data layers; the corresponding map contents are displayed according to different map scales; the requirement of a user on map cognition is met; and the map can better serve for indoor and outdoor navigation.
Owner:WUHAN UNIV
Systems and methods for efficient video analysis
ActiveUS20130232419A1Input/output for user-computer interactionGraph readingGraphicsGraphical user interface
Systems (100) and methods (300) for efficient video analysis. The methods involve: automatically identifying features of at least one feature class which are contained in a first video stream; simultaneously generating a plurality of first video chips (904) using first video data defining the first video stream; displaying an array comprising the first video chips within a graphical user interface window; and concurrently playing the first video chips. Each of the first video chips comprises a segment of the first video stream which includes at least one identified feature.
Owner:HARRIS CORP
DIS-NV feature-based emotion recognition method
InactiveCN107316654AEasy to implement trainingAccurate emotion recognitionSpeech recognitionFeature setSound production
The invention discloses a DIS-NV feature-based emotion recognition method. The method comprises the following steps of S1, selecting an emotion word having the non-fluency feature as a DIS feature word, selecting a sound production type having the non-language feature as an NV feature class, and constructing a DIS-NV feature set; S2, obtaining training voice texts, respectively matching the training voice texts with the DIS-NV feature set, extracting corresponding DIS-NV feature values, training by adopting a BLSTM model and obtaining a BLSTM classification model; S3, obtaining a to-be-recognized voice text, matching the to-be-recognized voice text with the DIS-NV feature set, extracting a corresponding DIS-NV feature value, recognizing by using the BLSTM classification model and outputting an emotion recognition result. According to the invention, the emotion recognition is realized through fully utilizing voice texts having the non-fluency feature and the non-language feature. The method is simple in implementation, high in recognition efficiency and high in precision.
Owner:HUNAN UNIV
High-resolution image-based road region building change extraction method
ActiveCN106683112AAvoid interferenceImage enhancementImage analysisVisual interpretationClassification methods
The invention relates to a high-spatial resolution remote sensing image-based road region building change extraction method and device. According to the method and device, an object-oriented image processing strategy is adopted, the spectral information and spatial information (including structural indexes and spatial relationships) of images are comprehensively utilized, and a single-class classification method is adopted. In order to avoid interference (spectral similarity) on extracted results caused by ground feature classes except road regions, it is required that existing road information such as an existing road vector diagram, is provided in advance; the existing road vector diagram is adopted to extract a road region range; and newly increased buildings are extracted within the road region range. With the high-spatial resolution remote sensing image-based road area building change extraction method and device provided by the invention, time for a traditional method to obtain newly increased buildings such as illegal buildings by using image visual interpretation can be greatly decreased, efficiency can be improved, and human resources can be saved. The method and device can be used for road maintenance and monitoring business operation systems.
Owner:国交空间信息技术(北京)有限公司 +1
System and method for adjusting step detection based on motion information
ActiveUS20070005246A1Save battery powerIncreased power consumptionPosition fixationAcceleration measurementAccelerometerFeature class
A system and method for changing the weighting accelerometer filtering based upon motion sensor measurements. Using measurements from motion sensors, one or more features can be extracted. This information is used by an algorithm to assign a most appropriate test feature class to be the class of the state of motion at a particular moment in time. This information is used to provide more accurate positioning information, and can also be used to power down the motion sensor at various times, providing an improvement in battery efficiency.
Owner:NOKIA TECHNOLOGLES OY
Surface feature symbolization method for realizing map library integration
ActiveCN103309944AReal-time symbolizationSave storage spaceSpecial data processing applicationsContinuationFeature class
The invention discloses a surface feature symbolization method for realizing map library integration. The method comprises the following steps: S1) configuring a symbol library template; S2) defining surface feature symbols, and describing shapes of the surface feature symbols by description statements; S3) uploading and analyzing the symbol library template on a drawing platform; S4) symbolizing the drawn surface features in real time; S5) editing continuation attribute values of the surface feature symbols by using an attribute control panel; S6) fine adjusting the shapes of the symbols by setting characteristic points; S7) when data is input to a database, creating feature classes and inputting information according to the corresponding relation of the surface feature symbols and the feature classes in a GIS (Geographic Information System) table. The invention adopts the symbolization protocol rules in the symbolization technology: all the surface feature symbols are formed by nesting basic entities, and in the instantiation process of the surface features, only one feature is needed for precise expression. According to the method, the storage space needed by the symbols is greatly reduced, the generation of extra auxiliary symbols and entities is avoided, and the map library integration is truly realized.
Owner:GUANGDONG SOUTH DIGITAL TECH
Multi-data center based natural resource geospatial data organization method and system
InactiveCN105045869AGuaranteed independenceGuaranteed relevanceRelational databasesGeographical information databasesData setData center
The invention provides a multi-data center based natural resource geospatial data organization method and system. The method comprises a data type identification step, a feature class model establishment step, a relation class data model establishment step and an auxiliary information acquisition step. Firstly, the type of natural resource geospatial data is identified and data centers, a database, a data set and an auxiliary information set are established; secondly, according to the identified data type, establishing a feature class data integration organization model and establishing a relation class data model; and finally, according to the identified data type and a relation class data calculation result, acquiring auxiliary information and storing the auxiliary information in the auxiliary information set. According to the organization method provided by the invention, unification of different data types in a conception layer based on a plurality of data centers and integration organization management of different data types are realized; orderly data management and data tracking and backtracking are realized; and the application convenience and flexibility of the natural resource geospatial data are satisfied.
Owner:国家信息中心
Face recognition algorithm training method based on multi-objective learning
ActiveCN108647583AImprove robustnessImprove generalization abilityCharacter and pattern recognitionNeural architecturesAlgorithmRecognition algorithm
The invention discloses a face recognition algorithm training method based on multi-objective learning, comprising the following steps: randomly initializing neural network parameters, using a loss function based on face identity and a loss function based on face feature point position constraint to minimize the learning objective to train the deep convolution network; when the prediction accuracyrate of the face identity reaches the threshold, calculating the loss function based on the distance within the face feature classes and the loss function based on the distance between the face feature classes, and performing calculation of the loss function based on the face identity and the loss function of the face feature point position constraint on each sample; based on the artificial weight setting, weighting each loss function to obtain the total loss function, and realizing the back propagation based on the total loss function. Therefore, the update of the network parameters is realized, and the network training is stopped when the accuracy is stable to get the trained face recognition model.
Owner:浙江大承机器人科技有限公司
Interactive networking systems with user classes
ActiveUS20110225631A1Change colorDigital data processing detailsComputer security arrangementsWeb siteInteraction systems
A networking system may comprise a web site incorporating a combination of one or more of the following: a crediting system, a chat bidding system, a performance bidding system, a telephony switching system, a media interaction system, a display system, a photo management system, and a messaging system. The networking system may categorize each user of the web site into classes, including a featured class, a common class, a sponsored class, and a sponsoring class. The networking system may facilitate user interactions, some of which may be partially dependent on user classes. A featured user may opt to temporarily appear as a common user, thus activating an alternative user profile and hiding his featured status. A sponsored user may participate in interactions on the web site if a sponsoring user offers his credits to pay for the sponsored member's participation. Other aspects of the networking system are also disclosed herein.
Owner:GREGORY A PEARSON
Incremental naive Bayes text classification method based on lifelong learning
ActiveCN108062331AImprove accuracyEasy to handleCharacter and pattern recognitionSpecial data processing applicationsWord listText categorization
The invention relates to an incremental naive Bayes text classification method based on lifelong learning. The method comprises: obtaining an initial text; extracting feature words of the text, storing a feature word list of a text set and text number; calculating word frequency of each feature word in the text, dividing the text set into two parts of a training set and a validation set; through anaive Bayes classifier, training a training set vector model generated in a previous step, to obtain prior probability and feature class condition probability of the naive Bayes model and storing; ifa new text exists, training the new text in an incremental manner, and updating the prior probability and feature class condition probability of the naive Bayes model, if no new text exists, selecting a test corpus from the validation set, and according to the naive Bayes model, obtaining a prediction text category of the text corpus, and calculating accuracy rate of prediction. The method can guide learning of new tasks in an incremental manner by using knowledge learned in previous tasks, and has new feature processing ability and field adaptive ability.
Owner:NANJING UNIV OF SCI & TECH
Pedestrian image feature classification method and system
InactiveCN106709478ASatisfy the strict conditions required by the input sampleGuaranteed robustnessCharacter and pattern recognitionData expansionClassification methods
The invention provides a pedestrian image feature classification method and system, and the method comprises the steps: carrying out the data expansion of a pedestrian image sample in a sample dataset; carrying out the grouping of the pedestrian image sample in the sample dataset after expansion, and obtaining a plurality of pedestrian sample groups; selecting samples, building a multi-channel convolution neural network, and extracting the global and local features of the sample data through the multi-channel convolution neural network; setting a loss function, calculating a loss value of the multi-channel convolution neural network, and optimizing the multi-channel convolution neural network; carrying out the feature classification of each global-local feature through the optimized multi-channel convolution neural network, and obtaining the feature class of each pedestrian sample group. The method enables the sample data to be expanded, meets the condition that triple loss exerts strict requirements for an input sample, can guarantee the robustness through employing multi-loss to optimize the multi-channel convolution neural network, and is suitable for the processing of pedestrian image features of a plurality of scenes.
Owner:GUILIN UNIV OF ELECTRONIC TECH
Method for monitoring ageing conditions of asphalt pavements based on remote sensing images
ActiveCN106124454AQuickly grasp road condition informationImprove the level ofScattering properties measurementsRoad surfaceFeature class
The invention discloses a method for monitoring ageing conditions of asphalt pavements based on remote sensing images. Multispectral satellite remote sensing images are subjected to inversion based on a multiple endmember spectral mixture analysis model and are extracted to obtain an asphalt abundance distribution diagram of the asphalt pavements with the different ageing conditions, so as to obtain monitoring information of the ageing of the asphalt pavements. The method comprises the following steps: selecting the multispectral satellite remote sensing images containing asphalt ageing characteristic spectrum wavebands and classifying endmembers in the remote sensing images; establishing an initial endmember spectrum database, optimizing an endmember spectrum of each surface feature class, and running a multiple endmember linear spectral mixture analysis model to obtain a pixel abundance value of each type of endmember. The method disclosed by the invention can be used for rapidly and conveniently extracting asphalt pavement ageing information and estimating healthy conditions of the pavements, can be used for effectively improving the precision and applicability of the monitoring of the ageing conditions of the asphalt pavements, and can be applied to maintenance survey and planning of the pavements of expressways or other grades of roads.
Owner:国交空间信息技术(北京)有限公司 +1
Systems and methods for efficient spatial feature analysis
ActiveUS20130159924A1Efficient Data Analysis2D-image generationInput/output processes for data processingData profilingFeature class
Systems (100) and methods (300) for efficient spatial feature data analysis. The methods involve simultaneously generating two or more chip images (904) using image data defining a first image (508); concurrently displaying an array (906) comprising all or a portion of the chip images in a plug-in window (702); and displaying in the plug-in window information relating to an attribute (a1, a2) of a feature (A5) contained in a selected one of the displayed chip images (1002). The chip images are generated in response to a user selection of a feature (A1) contained in at least a portion of the first image displayed in an application window (504). Each of the chip images comprises a panned view, a zoomed view, or a panned-and-zoomed view of the first image including one or more features of a user-selected feature class.
Owner:HARRIS CORP
Transformer insulating-paper deterioration evaluation method of considering running temperature influences
InactiveCN107808044AFuzzy logic based systemsSpecial data processing applicationsDistribution transformerFuzzy uncertainty
The invention relates to the fields of power systems and automation thereof, and particularly to a transformer insulating-paper deterioration evaluation method of considering running temperature influences. Three-dimensional trapezoidal fuzzy sets of transformer running temperature data are constructed; data of paper deterioration feature classes are fuzzified, membership functions are constructed, and three-dimensional trapezoidal fuzzy sets of the paper degradation feature classes are constructed; paper test data are fuzzified, membership functions are constructed, and three-dimensional trapezoidal fuzzy sets of paper test classes are constructed; and similarity functions between the probability fuzzy-sets of the test classes and the feature classes are constructed. According to the method, a theory of the three-dimensional trapezoidal probability fuzzy-sets is adopted for processing and analysis for random and fuzzy uncertainty parameters involved in distribution-transformer insulating-paper deterioration status evaluation, and then transformer insulating-paper deterioration is accurately evaluated.
Owner:GUANGDONG POWER GRID CO LTD +1
System and method for displaying images utilizing multi-blending
InactiveUS7667717B2Geometric image transformation2D-image generationPattern recognitionComputerized system
Owner:MICROSOFT TECH LICENSING LLC
Collaborative filtering method based on user project classes and scoring reliability
PendingCN109871479AImprove accuracyImprove Rating PredictionDigital data information retrievalBuying/selling/leasing transactionsPersonalizationNear neighbor
The invention discloses a collaborative filtering method based on user project classes and scoring reliability, and the method comprises the steps: building a user scoring matrix and a user project class feature matrix through user scoring data and project information, and adding a common scoring penalty factor according to the user scoring matrix to calculate the similarity of user scores; according to the user project feature class matrix, calculating the similarity of user project preference is calculated by accessing the number of times of project feature classes and enabling the project feature class score to be larger than the average value number, on the basis, calculating the total similarity of users and then predicting on the basis of neighbor scoring reliability, unscored projects to generate recommended projects by establishing a nearest neighbor set. According to the method, the real interest preference of the user can be obtained more accurately, personalized recommendation is conducted on the designated user, and therefore the quality of a recommendation system is improved.
Owner:NORTHWEST UNIV(CN)
Transformer fault state evaluation method
The invention relates to a transformer fault state evaluation method comprising the steps of: firstly, constructing a data set of a transformer insulating oil characteristic class, an insulating papercharacteristic class, a gas characteristic class, a temperature characteristic class, a capacitance characteristic class, and a partial discharge feature class, and calculating a corresponding probability value; then, calculate the average value of oil, paper, gas, temperature, capacitance, and partial discharge characteristic values reflecting the fault state of a transformer; further, constructing a transformer fault state evaluation function; and finally, performing transformer fault state evaluation. The transformer fault state evaluation method can evaluate the fault state of the transformer, reflect the uncertainty of the characteristic value of the transformer fault state, provides theoretical guidance for the transformer fault state evaluation, and provide a necessary technical support for the operation and maintenance of a distribution network.
Owner:GUANGDONG UNIV OF TECH
Image processing method and device and storage medium
InactiveCN110163137ATake advantage ofSave human resourcesCharacter and pattern recognitionPattern recognitionImaging processing
The invention relates to an image processing method and device and a storage medium, and the method comprises the steps: obtaining the first image information of a target object; according to the character features of the first image information, determining character feature classes to which the first image information belongs, wherein each character feature class corresponds to a target object;and determining behavior characteristics of the target object according to the archive information corresponding to the character characteristic class. According to the embodiment of the invention, the behavior of the target object can be analyzed by utilizing the collected image information, so that manpower resources are saved.
Owner:SHENZHEN SENSETIME TECH CO LTD
Information processing apparatus, information processing method, pattern recognition apparatus, and pattern recognition method
ActiveUS20100121798A1Image analysisDigital computer detailsPattern recognitionInformation processing
In a hierarchical neural network having a module structure, learning necessary for detection of a new feature class is executed by a processing module which has not finished learning yet and includes a plurality of neurons which should learn an unlearned feature class and have an undetermined receptor field structure by presenting a predetermined pattern to a data input layer. Thus, a feature class necessary for subject recognition can be learned automatically and efficiently.
Owner:CANON KK
Method for creating ETL scripts from relational database to Hive
InactiveCN107704597AImprove migration efficiencyCreate efficientlyDatabase distribution/replicationSpecial data processing applicationsRelational databaseFeature class
The invention discloses a method for creating ETL scripts from a relational database to Hive. The method comprises the following steps of: obtaining database metadata information; rapidly recognizinga feature class of each data table in the relational database; automatically creating an ETL script for each data table according to the class; and registering the generated ETL scripts in a scheduling platform through a simulated access technology or a service calling manner. According to the method, two dimensionality features, related to ETL, of the data tables are self-defined. Features of thedata tables can be rapidly classified, and when ETL operation from the relational database to the Hive is carried out in batches, a defined script template is utilized to efficiently and automatically create a corresponding ETL script for each data table and the ETL scripts are submitted to the scheduling platform, so that the data migration efficiency is greatly improved.
Owner:CTRIP TRAVEL NETWORK TECH SHANGHAI0
Aircraft telemetry data feature extraction and hierarchical classification method and device
ActiveCN110321940AImprove real-time performanceHigh classification success rateCharacter and pattern recognitionFeature DimensionSample sequence
The invention discloses an aircraft telemetry data feature extraction and hierarchical classification method and device, and the method comprises the steps: carrying out the time sequence analysis ofregularized preprocessing data, and constructing a plurality of basic feature classes; constructing a high-order statistic of the sample, and extracting a feature dimension with the maximum weight invarious types of data as a category feature; identifying a first-level category, and marking a category identifier on the sample sequence; carrying out primary classification, carrying out secondary classification on the steady-state slowly-varying data by adopting a linear regression classifier, and carrying out secondary classification on the dynamic rapidly-varying data by adopting an autocorrelation characteristic analysis classifier to obtain a classification result. According to the method, feature extraction and effective classification of aircraft telemetry data can be realized; a classification result covers the main category of telemetry data behavior characteristics in the field of aircraft measurement and control, classifier parameters can be used as input conditions of a compression transmission bandwidth or other signal processing methods, and technical support can be provided for development of future deep space exploration tasks and spatial information networks in China.
Owner:TSINGHUA UNIV
Energy-saving electrical appliance load type classification and identification method
ActiveCN105974219AImproved Electric Energy Metering AlgorithmGuaranteed performanceElectrical testingCharacter and pattern recognitionTyping ClassificationFeature class
Owner:CHINA ELECTRIC POWER RES INST +2
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