35 results about "Global statistics" patented technology

The present invention is directed towards systems and methods for generating recommendations in response to one or more users based on user search queries. The method of the present invention comprises generating a recommendation model based on aggregate activity generated though use of a network resource. A user profile is generated based on an individual user's interaction with said network resource. A user query is received and the previously generated recommendation model in combination with the previously generated user profile are utilized to provide a recommendation relevant to the user search query and global statistics.

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.

In an approach to preparing a query execution plan, a host node receives a query implicating one or more data tables. The host node broadcasts one or more implicated data tables to one or more processing nodes. The host node receives a set of node-specific query execution plans and execution cost estimates associated with each of the node-specific query execution plans, which have been prepared in parallel based on global statistics and node-specific low level statistics. The host node selects an optimal query execution plan based on minimized execution cost.

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.

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.

This invention discloses a highly accurate and efficient means to identify a failing component in a network with a minimum of testing. Developed to Support the Compaq Computer ServerNet(R) system area LAN technology, the methods and apparatus disclosed can be applied to any LAN based system with routing tables that are fixed and known for the duration of the testing. Disclosed new methods include a means to determine a minimal set of tests, a means to use global statistics to identify the most likely failing component, and a further means to refine the failing component list. This invention was reduced to practice.

The utility model discloses a silencing method of synthetic aperture radar image self adaptive speckle, providing a standard utilizing a global statistic heterogeneity entropy He to judge regional homogeneous or heterogeneous. Because the heterogeneity entropy He can utilize the global probability and statistics distribution of the image, the changes of edge detail and texture information can be measured accurately. And then the local homogeneous or heterogeneous of the image is judged more accurately and self adaptively utilizes different noise reduction measures. The method can inhibit the speckle noises of synthetic aperture radar image without sacrificing the spatial resolution, and reserve the role of the fringe goals texture edge details.

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.

A method and apparatus for merging synopses to determine a database statistic, e.g., a number of distinct values (NDV), is disclosed. The merging can be used to determine an initial database statistic or to perform incremental statistics maintenance. For example, each synopsis can pertain to a different partition, such that merging the synopses generates a global statistic. When performing incremental maintenance, only those synopses whose partitions have changed need to be updated. Each synopsis contains domain values that summarize the statistic. However, the synopses may initially contain domain values that are not compatible with each other. Prior to merging the synopses the domain values in each synopsis is made compatible with the domain values in the other synopses. The adjustment is made such that each synopsis represents the same range of domain values, in one embodiment. After “compatible synopses” are formed, the synopses are merged by taking the union of the compatible synopses.

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 discloses a method and device for detecting page direction of a document, wherein the method comprises the following steps: performing picture-text separation on a page of the document, splitting a got text region into a plurality of text units, and determining language type attributes of the plurality of text units; getting presentation direction attribute feature values of the plurality of text units aiming at the language type attributes, and incorporating the presentation direction attribute feature values into corresponding global statistics; getting the page directions andthe corresponding confidence levels aiming at all the presentation direction attribute feature values respectively according to all the presentation direction attribute feature values in the global statistics; and determining the page direction of the document and the corresponding overall confidence level according to the page directions and the corresponding confidence levels of all the presentation direction attribute feature values.

The invention discloses a video dividing and transcoding method and device. The method includes: dividing a video source into a plurality of sub-videos, wherein each sub-video comprises a plurality of frames; transcoding each sub-video to obtain the global statistic information of each sub-video, wherein the global statistic information of each sub-video at least comprises the frame level information of all the frames in the video source; estimating the complexity of each frame according to the frame level information of all the frames in the video source, and adjusting the quantization parameters in each frame level information of each frame according to the complexity of each frame and preset target code rate of the video source after transcoding; transcoding an optional frame in each sub-video according to the adjusted quantization parameters of the optional frame in each sub-video until all the sub-videos are transcoded, and combining all the transcoded sub-videos according to the sequence, obtained during video source dividing, of the sub-videos to obtain the jointed transcoded video source. The method has the advantages that effective video source code rates are reasonably distributed through comprehensive and global consideration, and even quality and definition of the whole video source during playing are achieved.

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 relates to a method for processing globe statistic in multi-core system, wherein said method comprises that: each corn is distributed with sub statistic variable relative to each statistic information class; setting the cacheline spaces of sub statistic variables in same class not layered; therefore, each corn can accesses second buffer or memory to obtain itself and its class sub statistic variables when first refreshing the statistic information; then when refreshing the statistic information later, it can directly relative sub statistic variable in the first buffer. The invention also discloses a relative device, which comprises controller, the corns of multi-corn system, and the unit for keeping cache constant. The invention can avoid frequently accessing second buffer and memory, to reduce time consumption and improve statistic speed.

The invention discloses a semiconductor process monitoring method based on the integrated leaning modeling technology. According to the semiconductor process monitoring method, on the basis that the vector data description algorithm is allowed, the integrated leaning modeling technology is introduced, and monitoring performance in a semiconductor process is promoted due to the fact that results of different models allowing vector data description are integrated. In an integrated leaning modeling process, a very important part is selection of appropriate integration strategies. As for the semiconductor process monitoring method, the different models allowing vector data description are integrated by adopting the advanced Bayesian reasoning strategy, and the advantages of all the models are used effectively. Finally, the semiconductor process is monitored by building a global statistic. Compared with a monitoring method based on a single model, the semiconductor process monitoring method based on the integrated leaning modeling technology greatly promotes the modeling performance of the models allowing vector data description and effectively improves the monitoring effect in the semiconductor process.

The invention discloses a fragment removing method based on global statistics. The method includes the steps of determining all repeating data blocks in a data stream to be backed-up, counting the length of all quoted data in quoted sections corresponding to all the repeating data blocks, obtaining a section quotation buffer area, calculating the specific value of the length of all quoted data in quoted sections corresponding to all the repeating data blocks to the length of the quoted sections, judging whether the specific value is smaller than a set threshold value or not, and if yes, writing the repeating data bocks in the sections. The invention further provides a fragment removing system based on global statistics. The length of all quoted data in quoted sections corresponding to all the repeating data blocks is obtained, the section quotation rate of the quoted sections corresponding to all the repeating data blocks is calculated, the repeating data blocks corresponding to the data sections with the section quotation rate smaller than the set threshold value are judged to be data fragments, the data fragments are written in the sections, and the aim of removing the fragments so as to improving the restorability can be achieved.

The invention discloses a software scale measurement method based on demand identification. According to the method, on the basis of a requirement specification document of software, software requirements are obtained and subjected to requirement classification, and the software scale is obtained by identifying and counting function points in the function requirements. Comprising the steps of obtaining a demand specification document of target software; performing data preprocessing on the target software demand document to obtain demand statement data; using a graph attention network and BERT to construct an automatic demand classification model for demand identification and classification; function point scale calculation is carried out on function requirements, and attribute embedding and global statistics are carried out on non-function requirements; and finally, completing software scale measurement by taking function point scale estimation as a main part and taking global non-function demand classification statistics and system characteristics as adjustment coefficients.

The invention discloses a method for processing static fusion welding force data of an electrical contact material based on Weibull distribution. According to an electrical contact static fusion welding force testing device, movable and static contacts are pressurized to be closed, specified current is loaded, and the movable and static contacts are separated to measure the static fusion welding force value of the electrical contact material by virtue of a certain tension. The method disclosed by the invention comprises the following five steps: step 1. acquiring the static fusion welding force data of the electrical contact material; step 2. determining the data characteristics; step 3. determining a data statistics mode, namely adopting a Weibull global statistics mode if failure data is absent, otherwise, adopting a Weibull incomplete statistics mode if the failure data exists; step 4. performing data fitting; and step 5. determining the confidence coefficient to obtain the optimal value, thereby obtaining the optimal value of the static fusion welding force data of the electrical contact material according to the fitting result. According to the method disclosed by the invention, the Weibull probability statistics is taken as the basis, the test time is greatly shortened under the condition that valid data can be acquired by the experiment, and the test cost is saved. Meanwhile, the static fusion welding force data of the electrical contact material can be summarized, and a technical support is provided for development of the low voltage electrical apparatus industry.