12 results about "Relevance measure" patented technology

The application relates to the technical field of industrial Internet of Things, and discloses a multi-channel time sequence data error bound quantification method and system based on dynamic graph grouping and error distribution, which comprises the following steps: S1: acquiring multi-channel time sequence data collected at the same collection point; S2: determining a scale factor, a point-by-point maximum absolute error upper bound, normalized channel time sequence data, and normalized error bounds of all channels; S3: calculating correlation measurement values of any two channels, and constructing a channel correlation graph; S4: determining a grouping threshold value, and forming an anchor point set from selected anchor point channels; S5: constructing a cross-channel correlation prediction model, and constructing an innovation sequence; S6: determining an error sensitivity coefficient, and determining a quantified error bound; S7: obtaining normalized reconstruction values of the anchor point channels and the innovation sequence; and S8: obtaining normalized reconstruction values of non-anchor point channels, and performing inverse normalization on the normalized reconstruction values according to the scale factor to obtain reconstruction values of the channels under the original dimension. The application can limit compress and highly restore original data.

A method includes accessing a structured content item from a first database and event data from a second database, the event data including sets of event attributes in a multi-dimensional namespace and associated with a respective point in time; determining a relevancy profile characterizing a metric of relevancy of the structured content item over a respective time interval, the metric of relevancy including a distance in the multi-dimensional namespace between attributes associated with the structured content and the sets of event attributes; generating, using the relevancy profile, second digital content including a subset of the structured content item; and providing the second digital content for rendering on a device. Related apparatus, systems, techniques and articles are also described.

The invention relates to the technical field of data mining, and discloses a diversified Top-k rule selection and mining method and system, a terminal and a storage medium, and the method comprises the steps: obtaining a rule correlation measurement function and a rule pair distance measurement function; according to the rule correlation measurement function and the rule pair distance measurement function, an objective function of the rule set is constructed, and the objective function is used for comprehensively evaluating correlation and diversity of the rule set; and generating a Top-k rule set from a rule source according to the objective function, the rule source comprising a candidate rule set or an original data set. According to the method, the correlation and diversity of the rule set can be comprehensively optimized, the rule set with high redundancy is prevented from being output, and the overall quality of the Top-k rule set is improved. Moreover, the Top-k rule can be efficiently selected from the preset candidate rule set, and the Top-k rule can be directly mined from the original data set, so that the practicability is enhanced, and the application range is widened.

This disclosure provides systems, methods, and devices for audio signal processing that support improved keyword detection for speech recognition applications. In one aspect, a method is provided that includes determining a plurality of correlation measures for a series of consecutive audio data frames. Each measure is calculated by obtaining a first feature vector for a respective audio frame and a second feature vector from a preceding frame, then computing the correlation between them. The method further includes identifying the presence of a spoken keyword, determining its start time based on the correlation measures, and defining buffer data for the keyword. Additional aspects are also provided, such as leveraging models to confirm keyword presence, handling background noise, and utilizing circular buffers for efficient processing. Other aspects and features are also claimed and described.

A method can involve receiving an output signal from each of a plurality of microphones in an environment, each of the plurality of microphones being located at a microphone location of the environment, the output signal corresponding to a person's utterance. The method can involve determining, based at least in part on the output signal, a zone within the environment having at least a threshold probability of including a location of the person, and generating a plurality of spatially-varying attention signals within the zone. Each attention signal can be generated by a device located within the zone. Each attention signal can indicate that a corresponding device is in an operating mode in which the corresponding device is awaiting a command, and can indicate a relevance metric for the corresponding device.

The application belongs to the field of three-dimensional digital measurement, and particularly relates to a point cloud registration method with an attention mechanism, which down-samples input point clouds and target point clouds to facilitate improvement of registration accuracy and efficiency. Spatial and channel attention mechanisms are used to focus on the overlapping area of the two point clouds. The method performs dot product operation on the weighted point cloud features to obtain a correlation matrix corresponding to the points, and then obtains a weighting matrix. The rigid transformation matrix is obtained by singular value decomposition algorithm using the weighting matrix and the two point cloud features, so that the fast and accurate point cloud registration task is realized. The application focuses on the similar areas between the point clouds to be registered by introducing the attention mechanism in deep learning, and extracts the feature information to perform correlation measurement, so as to solve the problem of point cloud registration.

A system and method of processing a search request is provided. Identification of a desired content item is based on comparing a topic of the search request to previous user input. The method includes providing access to a set of content items with metadata that describes the corresponding content items and providing information about previous searches. The method further includes receiving a present input from the user and determining a relatedness measure between the information about the previous searches and an element of the present input. If the relatedness measure is high, the method also includes selecting a subset of content items based on comparing the present input and information about the previous searches with the metadata that describes the subset of content items. Otherwise, the method includes selecting a subset of content items based on comparing the present input with the metadata that describes the subset of content items.

A method, device and computer readable storage medium for reach deduplication across contents is provided. In the method, a plurality of non-overlapping object subsets is determined from an object set based on a plurality of object ranges. An object range is associated with at least one object attribute and targeted by a content of a plurality of contents that targets the object set. A reference number of objects targeted by at least one content in each object subset is determined based on a plurality of individual correlation metrics. An individual correlation metric corresponds to a content and indicates a degree of correlation between objects in the object subset and the content. A target number of objects targeted by the plurality of contents in the object set is determined based on the respective reference numbers in the plurality of object subsets.

Embodiments relate to systems and methods for generating content for a draft message based on tracked product data and pre-processed vectorized data. The methods can include extracting a customer domain identifier from a request and using the customer domain identifier to obtain from a product model a proposed product profile and a proposed product action. The methods can include constructing a first query comprising a semantic-based search criteria and a keyword-based search criteria and obtaining a first set of search results from an internal data store using the first query. The methods can include constructing a second query comprising a search vector and obtaining a second set of search results from a second data store using the second query. The methods can include causing generation of a prompt that includes the proposed product action obtained from the product model, and the composite set of search results satisfying a relevance metric.

The application provides a power grid data security protection method and system, relates to the technical field of data security, and comprises the following steps: constructing a data inference relation graph, recording historical access information of an access subject, and when an access request is received, performing two-dimensional risk assessment based on a derived knowledge set inferred by combination of target data and historical data, a correlation measurement value of historical access and an operating state parameter, and generating an access control instruction. The application can effectively prevent inference attacks based on historical data correlation analysis and improve the power grid data security protection capability.

The invention relates to the field of data mining and machine learning, in particular to a variable correlation analysis method based on machine learning prediction precision, which comprises the following steps: acquiring a data set containing a plurality of variables, and performing data preprocessing; variable pairing and target setting; performing association degree quantification based on a machine learning model; constructing a correlation matrix; and outputting the correlation matrix for visualization or downstream analysis tasks. The method has the advantages that a machine learning model is adopted as a core tool for correlation measurement, any complex nonlinear and non-monotonic relation between variables can be effectively captured, and inherent limitations of traditional correlation analysis methods such as a Pearson coefficient, a mutual information method and a maximum mutual information coefficient are broken through; the abstract correlation is defined as specific'prediction precision ', so that the analysis result has clear and intuitive practical significance, and'the prediction precision of predicting the variable B by adopting the variable A is 0.8' is easy to understand by field experts and be applied to actual decision making.

The invention provides a power grid data security protection method and system, and relates to the technical field of data security, and the method comprises the steps: recording the historical access information of an access subject through constructing a data inference relation graph; and performing two-dimensional risk assessment based on a derivative knowledge set inferred by combining the target data and the historical data and the correlation metric value of the historical access and operation state parameters, and generating an access control instruction. According to the invention, inference attacks based on historical data association analysis can be effectively prevented, and the power grid data security protection capability is improved.