35 results about "Global statistics" patented technology

The invention provides a front-end user behavior statistical method and device. The front-end user behavior statistical method comprises the steps of acquiring point burying rules preset for a page, monitoring a page clicking event for the page in the running process of the page, and performing statistics on behavioral data of a front-end user of the page based on the point burying rules when the page clicking event is monitored. In the invention, the point burying rules are firstly set for the page in order to realize automatic point burying for the page, a buried point is triggered to open by the page clicking event in running of the page, and thus a problem that the existing manual point burying makes errors and is tedious and poor in convenience. In addition, global statistics can be performed on behaviors of the front-end user of the page, and the statistical efficiency is high.

Methods, systems and computer readable media for facilitating analysis of feature extraction outputs across multiple extractions. A feature extraction output of an extraction resulting from feature extraction of an array is inputted, and global statistics and array processing parameters are extracted from the feature extraction output. A table / file is populated with the extracted global statistics and array processing parameters of the extraction. The inputting, extracting and populating steps are repeated for at least one additional feature extraction output of another extraction, so that the table / file includes global statistics that can be readily cross-compared over multiple extractions with reference to a single table or file. Methods, systems and computer readable media are provided for setting threshold values for metrics that global statistics are provided for. An evaluation metric may be set by a user, based upon the threshold values set for the metrics. A metric set including the metrics and optionally one or more thresholds and optionally an evaluation metric may be stored and / or applied to additional global statistics for those metrics to evaluate the quality of one or more extractions. A set of reports are provided for facilitating analysis of feature extraction outputs across multiple extractions. A diagnostic tool is provided for identifying and diagnosing potential problems in feature extraction outputs.

An apparatus and method for determining if a query document matches one or more of a plurality of documents in a database. In a coarse matching stage, a compressed file or other query document is scanned to produce a bit profile. Global statistics such as line spacing and text height are calculated from the bit profile and used to narrow the field of documents to be searched in an image database. The bit profile is cross-correlated with bit profiles of documents in the search space to identify candidates for a detailed matching stage. If multiple candidates are generated in the coarse matching stage, a set of endpoint features is extracted from the query document for detailed matching in the detailed matching stage. Endpoint features contain sufficient information for various levels of processing, including page skew and orientation estimation. In addition, endpoint features are stable, symmetric and easily computable from commonly used compressed files including, but not limited to, CCITT Group 4 compressed files. Endpoint features extracted in the detailed matching stage are used to correctly identify a matching document in a high percentage of cases.

An apparatus and method for determining if a query document matches one or more of a plurality of documents in a database. In a coarse matching stage, a compressed file or other query document is scanned to produce a bit profile. Global statistics such as line spacing and text height are calculated from the bit profile and used to narrow the field of documents to be searched in an image database. The bit profile is cross-correlated with bit profiles of documents in the search space to identify candidates for a detailed matching stage. If multiple candidates are generated in the coarse matching stage, a set of endpoint features is extracted from the query document for detailed matching in the detailed matching stage. Endpoint features contain sufficient information for various levels of processing, including page skew and orientation estimation. In addition, endpoint features are stable, symmetric and easily computable from commonly used compressed files including, but not limited to, CCITT Group 4 compressed files. Endpoint features extracted in the detailed matching stage are used to correctly identify a matching document in a high percentage of cases.

The present invention extends to methods, systems, and computer program products for formulating global statistics for parallel databases. In general, embodiments of the invention merge (combine) information in multiple compute node level histograms to create a global histogram for a table that is distributed across a number of compute nodes. Merging can include aligning histogram step boundaries across the compute node histograms. Merging can include aggregating histogram step-level information, such as, for example, equality rows and average range rows (or alternately equality rows, range rows, and distinct range rows), across the compute node histograms into a single global step. Merging can account for distinct values that do not appear at one or more compute nodes as well as distinct values that are counted at multiple compute nodes. A resulting global histogram can be coalesced to reduce the step count.

An apparatus and method for determining if a query document matches one or more of a plurality of documents in a database. In a coarse matching stage, a compressed file or other query document is scanned to produce a bit profile. Global statistics such as line spacing and text height are calculated from the bit profile and used to narrow the field of documents to be searched in an image database. The bit profile is cross-correlated with bit profiles of documents in the search space to identify candidates for a detailed matching stage. If multiple candidates are generated in the coarse matching stage, a set of endpoint features is extracted from the query document for detailed matching in the detailed matching stage. Endpoint features contain sufficient information for various levels of processing, including page skew and orientation estimation. In addition, endpoint features are stable, symmetric and easily computable from commonly used compressed files including, but not limited to, CCITT Group 4 compressed files. Endpoint features extracted in the detailed matching stage are used to correctly identify a matching document in a high percentage of cases.

The invention belongs to the field of treatment of medical images, and relates to a breast neoplasms ultrasonic image segmentation method based on improved level set algorithm. The method is characterized in that the original image is pre-treated and remains the effective area, the speckle noise is removed, so as to achieve the purpose of protecting the boundary; the image is adaptively segmented according to the threshold. The method comprises the steps of (1) inversing color for the image; (2) determining the threshold; (3) screening candidate areas; (4) arranging the rest candidate areas; (5) determining seed points. With the adoption of the method, the seed points can be quickly found, the seed points can be kept in a neoplasms area, and the accurate determination of the seed points ensures the accuracy of area growth and level set; in addition, the seed points grow in the area, and the initial contour can be found; the classic Chan-Vese (CV) algorithm is improved; the global statistics information of the curved line of the contour in the development process is considered during calculating the global statistics information; the accuracy of the segmentation result is ensured, and moreover, the automation level of the segmentation method can be further improved.

A database management system that manages data in a database includes a query optimizer that performs query optimization based on statistics related to data in the database. The query optimizer incrementally updates the statistics. The query optimizer organizes the statistics related to the data in the database into a statistics tree structure having a root node corresponding to global statistics, internal nodes corresponding to summary statistics of descendant nodes, and leaf nodes corresponding to disjoint data ranges in the database. The query optimizer performs statistics tree transformation operations on the statistics tree structure. The transformation operations transform the statistics tree structure into a form that at least partially minimizes the system resources needed to update the statistics. The query optimizer updates the statistics corresponding to those nodes of the statistics tree structure where a change has occurred in the disjoint data ranges.

The invention discloses a method for processing static welding force data of electric contact materials based on Weibull distribution. The electric contact static welding force test device can apply pressure to the dynamic and static contacts and then load a specified current after closing, and then pass a certain The pulling force separates the dynamic and static contacts to measure the value of the static welding force of the electrical contact material. The present invention includes five steps: Step 1: Static fusion welding force data collection of electric contact materials; Step 2: Determine the data characteristics; Step 3: Determine the data statistics method, that is, the Weibull complete statistical method is used for no failure data, and the Weibull complete statistical method is used for failure data. Weibull incomplete statistical method; step 4: data fitting processing; step 5: determine the confidence to get the best value, and get the best value of the static welding force data of the electric contact material according to the fitting result. The present invention is based on Weibull probability statistics, and under the premise of ensuring that the experiment can obtain effective data, it greatly shortens the test time and saves the test cost. Provide technical support for the development of electrical appliances industry.

A method for encoding a picture is disclosed. The method generally includes the steps of (A) generating at least one respective macroblock statistic from each of a plurality of macroblocks in the picture, (B) generating at least one global statistic from the picture and (C) generating a respective macroblock quantization parameter for each of the macroblocks based on both (i) the at least one respective macroblock statistic and (ii) said at least one global statistic.

The present invention proposes a synthetic aperture radar image adaptive speckle noise suppression method, and proposes to use a global statistical quantity heterogeneity entropy He as a criterion for judging regional homogeneity and heterogeneity, because the heterogeneity entropy He utilizes the image The global probability and statistics distribution can measure the changes of edge details and texture information very well, so as to judge the local homogeneity and heterogeneity of the image more accurately, and adaptively take different noise reduction measures. This method can It suppresses speckle noise in synthetic aperture radar images without sacrificing spatial resolution and preserves the texture details of the target edge.

The invention discloses a global vector acquisition method based on probability statistics and image gradient information, which is mainly used to solve the problems of inaccurate global vector solution, long operation time, easy matching distortion and the like in the matching process of two images. The implementation steps are: 1) use horizontal and vertical gradient operators to perform two-dimensional convolution processing on the image to be processed respectively; 2) calculate the gradient information matrix; 3) divide the gradient information matrix into macroblocks, and calculate the gradient sum of each macroblock; 4) Sort the gradient sum of the macroblocks, and determine the block to be matched near the maximum value; 5) Process the block to be matched by using the full search method; 6) Determine the global motion vector by using the probability distribution function of the local motion vector. The present invention utilizes image grayscale information and introduces local motion vector probability density functions to improve global vector precision, has low computational complexity, good parallelism, and is easy to implement in real time, and can be used for image matching processes such as electronic image stabilization and video compression. digital image and video processing.

The invention provides a high-precision method for detecting and repairing abnormal data in the blast furnace smelting process. This method first obtains relevant indicators through global statistics, and then finds the time point of the data that may have problems, and then specifically analyzes the slope change of the data at the relevant time point, and finally achieves the abnormality through the comparison of local and global statistics and analysis. Accurate understanding of the data. The present invention uses the autoregressive time series model to repair the problem data for the blast furnace data, selects the generalized multi-innovation least squares algorithm with faster convergence speed in the model parameter estimation, and gives the sample data length, multi-innovation amount and model Step selection method. The invention solves the problems of misdetection in the abnormal value detection of the blast furnace process data by the conventional detection method and low precision of the average value interpolation method in the repair of the abnormal temperature data of the blast furnace. The invention can also be applied to other process data detection and repair.

The invention discloses a method for defragmentation based on global statistics, which includes: determining each repeated data block in the data stream to be backed up, counting the lengths of all referenced data in the referenced segment corresponding to each repeated data block, and obtaining the segment Reference buffer; calculate the ratio of the length of all referenced data in the referenced segment corresponding to each repeated data block in the data stream to be backed up to the length of the referenced segment, and determine whether the ratio is less than the set threshold, if so The duplicate data block is then written to the segment. The invention also provides a defragmentation system based on global statistics. The present invention counts and obtains the length of all referenced data in the referenced segment corresponding to each repeated data block, and calculates the segment reference rate of the referenced segment corresponding to each repeated data block, and selects the data segment whose segment reference rate is less than the set threshold The corresponding duplicate data blocks are judged as data fragments, and these data fragments are written into segments to achieve the purpose of defragmentation and improve recovery performance.