126 results about "Classification structure" patented technology

A visualization method and tool for gaining insight into the structure of a hierarchy. A derived intuitive display of the relation and effect on classification of features in nodes in a classification hierarchy provides a snapshot of a metric, such as coherence of the hierarchy. The visualization tool displays, in a single view, all or part of the following information: which features are the most powerful in identifying a particular topic; how these features are distributed over items in its sub-classes; which of these features do strongly distinguish among, and help classify items into, subclasses, and which do not (the ones that are shared evenly among the sub-classes justify the grouping as being coherent); and topic relationships among subclasses.

A method and apparatus for ontology-based classification of media content are provided. With the method and apparatus, initial confidence values of classifiers in a hierarchical classification structure are modified based on relationships between classifiers. A confidence value for a classifier is boosted by a boosting factor based on a correspondence between the confidence value and confidence values of ancestor classifiers in the hierarchical classification structure. A confidence value for a classifier is modified by a confusion factor based on a correspondence between the confidence value of the classifier and the confidence values of mutually exclusive classifiers in the hierarchical classification structure. In this way, a more accurate representation of the actual confidence that media content falls within the classification associated with the classifier is obtained. From this improved classification mechanism, indices for media content may be generated for use in accessing the media content at a later time.

A system and method for an efficient semantic similarity search of images with a classification structure are provided. The system and method provide for building a semantic classification-search tree for the plurality of images, the classification tree including at least two categories of images, each category of images representing a subset of the plurality of images, receiving a query image, classifying the query image to select one of the at least two categories of images, and restricting the search for the image of interest using the query image to the selected one of the at least two categories of images.

A system and method for constructing a hierarchical multi-faceted classification structure includes organizing a plurality of visual categories into a multi-relational reference ontology that accounts for a plurality of different types of relationships. Media artifacts are categorized into the plurality of visual categories. The categories of artifacts are refined based on faceted ontology relationships or constraints from the multi-relational reference ontology. The multi-relational reference ontology and the one or more media artifacts with relationships are stored as the hierarchical multi-faceted classification structure in computer readable memory storage.

The invention discloses an event argument role extraction method based on a multi-head attention mechanism. The method comprises the following implementation steps: step (1), preprocessing a data settext, and outputting the preprocessed text and a corresponding tag; step (2), training a bidirectional GRU network integrated with a multi-head attention supervision mechanism; (3) performing semanticdependency analysis on the text, and outputting a semantic dependency path between the trigger word and the candidate argument; (4) inputting the preprocessed text into the network in the step (2) for training, outputting the code of each word, and fusing the semantic dependency path outputs (trigger word codes, candidate argument codes and semantic dependency paths) argument classification structures in the step (3); and (5) inputting the argument classification structure into a classification network for training and classifying. According to the method, the text is analyzed by using a neural network method fused with a multi-head attention supervision mechanism, and the method has a good argument role extraction capability for a plurality of event situations in event sentences.

A method of selecting a program item by defining a programming template relating to a predetermined period for an individual viewer. The programming template includes a plurality of sequential time slots, each time slot being associated with a particular content type selected from a standard program content classification structure. For a given time falling within a respective the time slot, a program item is selected from a plurality of candidate program items. This program item identified as having content of the type associated with the one of the time slots. Thus an EPG is automatically compiled on the basis of a user profile which calls for a certain type of content (film / news / weather / clips etc.) at certain times of the day or week.

More particularly, methods, systems, and computer program products are disclosed for differential dynamic content delivery. Typical embodiments include providing a session document for a presentation, wherein the session document includes a session grammar and a session structured document; selecting from the session structured document a classified structural element bearing a preview designation; presenting the selected structural element to a prospective user participant; and receiving from the prospective user participant an indication of interest in the selected structural element. Typical embodiments also include recording the indication of interest in association with the selected structural element.

The invention discloses a low-pollution combustion chamber with a main combustion stage adopting single-layer pre-film radial two-grade reverse rotational flow. The low-pollution combustion chamber adopts a single annular cavity structure, and comprises a diffuser, a combustion outdoor box, a combustion indoor box, a flame cylinder outer wall, a flame cylinder inner wall and a combustion chamber head part; the combustion chamber adopts a classification combustion scheme; the combustion head part is divided into a pre-combustion stage and the main combustion stage; the pre-combustion stage adopts a mode of combining rotational flow-stable diffusion combustion with rotational flow premixing combustion; the combustion mode reduces the pollutant discharge under small working conditions when not influencing stable combustion; and the main combustion stage adopts a premixing pre-evaporation combustion mode to be in favor of uniform combustion. The combustion chamber adopts a center classification structure; the pre-combustion stage is simple in structure; the main combustion grade adopts a two-grade reverse cyclone distributed in the radial direction; and two parts of reverse rotational flows shear an oil film, so that the atomization effect is greatly improved, the atomization of fuel of the main combustion stage and the mixing with air are enhanced, the premixing pre-evaporation of the fuel is reinforced, and the pollution discharge of whole landing and taking-off circulation of an aero-engine combustion chamber is further reduced.

The invention belongs to the technical field of power system line fault judgment, and particularly relates to a line fault judgment method based on wavelet analysis and a support vector machine. The method comprises steps: firstly, fault current signals in a wave recording system are extracted, and the wavelet analysis technology is adopted for extracting and analyzing feature information of the fault current signals; then, a wavelet energy entropy theory is used for decomposing the fault current signals, an energy entropy value corresponding to each phase of current is calculated, and zero-sequence current is combined for building a four-dimensional feature vector for transmission line fault classification; and finally, a two-layer classification model is used for specific fault judgment. The judgment method comprises a linear classification module and a nonlinear classification module, wherein linear classification is initial classification on data samples according to the two-layer classification structure of the zero-sequence current and threshold parameters; and on the basis, according to data features for transmission line small sample fault, the support vector machine is used for nonlinear classification on multiple kinds of fault data, and transmission line fault judgment is finally realized.

The system and methods of the present invention provide a processing function that is useful for controlling any type of transaction between providers and consumers of information services. The invention provides a transaction framework that dynamically integrates a plurality of service providers and consumers based on transaction context data. Transactions between services are described using a transaction definition. A transaction definition specifies the details of the transaction using a uniform specification model, where services are classified through a standardized taxonomic structure. The processing function analyzes service classification during a transaction to determine the appropriate configuration and processing strategy.

Methods and systems are provided for retaining and managing global records of an organization. In one implementation, a method is provided for retaining global records of an organization. The method may include storing, in a memory device, at least one arrangement of data items classified according to a hierarchical classification structure providing a normalization scheme for classifying the data items, the data items comprising global data of an organization and a retention schedule corresponding to the global data. Additionally, the method may include retaining the data items according to the retention schedule, wherein the retention schedule comprises a plurality of retention rules including a global retention rule defining a first duration for retaining the data items consistent with a set of predetermined requirements, and at least one exception rule for retaining at least one data item for a second duration.

The invention discloses a method for constructing a tree structural directory in a database, which relates to the method for constructing the tree structural directory in the database. The method comprises the following steps of: establishing a commonly used directory structure module used for describing a tree structure and a commonly used configuration module used for describing the information related to nodes in the tree structure in the database; and when establishing the tree structure, storing the information related to the tree structure to be established into the directory structure module and the configuration module first and then establishing a specific information-containing tree structural directory by combining the information stored in the directory structure module and the configuration module. By using the method for establishing the tree structural directory of the database, a large amount of redundant data in data storage space is reduced so that various information tables can adapt to various classification structures conveniently. Therefore, the utilization rate of the storage space such as a hard disk and / or a buffer memory and the like is improved extremely, the system development and maintenance workload is obviously reduced and the stability of the system is enhanced.

A method and system for the automatic harvesting and qualification of dynamic database content for efficiently providing highly relevant and timely information in response to a user's queries. The method includes obtaining an initial categorization structure for organizing a plurality of subject areas of information, obtaining a plurality of parametric information lists for optimizing operation to a user's requirements, acquiring a listing of qualified databases from candidate database listing by matching candidate databases to a plurality of subject areas, obtaining a query from the user, the query being associated with a subject area, submitting a query to the qualified databases, acquiring a collection of responsive content from the qualified databases, indexing the responsive content to form an index for facilitating searching the collection, and publishing a summary of the collection for review by the user.

The invention discloses a method, a device and a system for establishing a knowledge questioning and answering sharing platform and a method for realizing a search engine. The method for establishing the knowledge questioning and answering sharing platform comprises the following steps: presetting a classification structure used for classifying knowledge questioning and answering information, wherein the sorting structure comprises at least one stage, and each stage comprises at least one unit classification; and dynamically generating a main-stage mark and a secondary-stage mark under the unit classification and establishing the upper and lower stage incidence relation between the main-stage mark and the secondary-stage mark according to the real-time analysis result of additional questioning information under the unit classification of the classification structure. The invention can flexibly respond hot questioning information and new questioning information and can also further correct the search range from a classification range to a mark range, thereby assisting users in precisely hitting a target.

Present invention relates to network filtering and monitoring technology field. It includes following steps: receiving reached network package, collecting network package head information, statistics and normalization network flow property, computing element obtaining network package classifying structure according to configured rule congregation and network flow statistical property, network package classifying unit obtaining network package head information and classifying network package through sorter data structure obtained by calculating unit, transmitting unit transmitting network package in output queue according to classifying result. Present invention is realized based on microprocessor universal platform or network processing unit special platform, combined network flow dynamic statistics property and rule aggregative static structure property, optimizing network package classification method, raising 80-400 per cent average classifying rate than current both abroad and home same class of method, and reducing memory requirements by 30-600 per cent.

The present invention provides document classification methods, apparatus and systems for browsing documents in the Internet. The method includes the steps of: creating a plurality of categories on the server side, assigning the documents to be browsed by the user to the corresponding categories, and managing said plurality of categories in a flat structure; and on the client side, selecting the required categories from the plurality of categories to create a personalized classification structure. The cost of calculating and storing can be greatly reduced by utilizing the system and method according to the present invention.

The invention relates to a preparation method of a bionic oil-water separation copper net; and the preparation method is enlightened by hydrophobic self-cleanness of natural plant leaf surfaces, and an electrochemical deposition method is adopted to prepare super-hydrophobic surfaces with bionic micro-nanoscale double-layer classification. The method comprises the following steps: firstly, diluted hydrochloric acid, acetone and distilled water are used to clean the copper net for pretreatment; then, the copper net is dipped in electroplating liquid for electrochemical deposition, so that the surface morphology features are changed, and a bionic micro-nanoscale double-layer classification structure is formed on the surface of the copper net; after the electric deposition is finished, the copper net with the bionic micro-nanoscale double-layer classification structure is dipped into modifying solution, so that the surface thereof is formed with a low-surface-energy film; and finally, the surface of the copper net has super-hydrophobic and super-oleophylic characteristics. The preparation method of the bionic oil-water separation copper net is simple in operation, controllable in experimental parameters and low in cost, and can be used for manufacturing oil-water separation materials; and the materials have the super-hydrophobic and super-oleophylic characteristics, excellent mechanical stability and the recycling property.

An application development environment is provided. Database contents or structure can be changed and the changes are seamlessly propagated to the applications or views that are impacted by the change. Similarly, from the application page, new database content can be added to the database. The taxonomy of the database is relational through the use context and data relationships are contextually presented by their relative relationships within a taxonomy structure. Controls are used to define the behavior of the application. The activity of each control is defined via declarative events. The application framework is generated from the taxonomy, which flexibly couples the application design to the required data.

Embodiments of the invention provide systems and methods for modeling of agent skills based on or more closely matching categorization structures of the CRM system. According to one embodiment, defining skills of each of a plurality of customer service agents in a Customer Relationship Management (CRM) system can comprise defining a set of product information representing products or services for which support is available through the CRM system. A set of incident information representing incidents handled by the CRM for one or more of the products or services can also be defined and a structure of the incident information can be based on a structure of the product information. A set of skills information for each of the plurality of customer service agents can also be defined. A structure of the skills information can be based on the structure of the product information and the structure of the incident information.

The invention discloses a method for preparing a photocatalytic material with a multi-component porous classification structure. The method includes firstly, cleaning and treating surfaces of natural plant leaves, and soaking the natural plant leaves in metal precursor steeping liquor to obtain a metal oxide base material with a nanometer structure via hydrolysis and calcination; and secondly, steeping, drying and calcining the base material in precious metal precursor liquor to obtain the composite material with the multi-component porous classification structure. The invention further relates to photocatalytic composite material with the multi-component porous classification and application of the photocatalytic composite material. The method is simple and flexible in process and low in cost, precious metal is doped into the metal oxide intrinsic conductor nanometer material with the porous classification structure so as to obtain the photocatalyst material with excellent performances, and the photocatalyst material can effectively catalytically decompose organic pollutant in visible light.

Techniques for classifying structural data with skewed distribution are disclosed. By way of example, a method classifying structural input data comprises a computer system performing the following steps. Multiple classifiers are constructed, wherein each classifier is constructed on a subset of training data, using one or more selected composite features from the subset of training data. A consensus among the multiple classifiers is computed in accordance with a voting scheme such that at least a portion of the structural input data is assigned to a particular class in accordance with the computed consensus. Such techniques for structured data classification are capable of handling skewed class distribution and partial feature coverage issues.

Aspects of the subject disclosure may include, for example, determining a differentiating information item, and modifying a standardized digital index based on the differentiating information item to obtain an entity. The standardized digital index includes a number of data fields that accommodate a number of differentiating information items according to a standardized taxonomic structure. The number of data fields includes a topic label, a resource and a manifest listing that identifies the resource. The entity is stored in an entity repository, wherein the entity is accessible to support a digital transaction within a network service provider ecosystem comprising a plurality of differentiated network services, and wherein the entity supports the digital transaction as one of a user, a consumer, a producer, content, capabilities and any combination thereof. Other embodiments are disclosed.

The invention discloses a speech emotion recognition method based on semi-supervised feature selection. According to the method, a specific classifier is trained for each speaker, so that the negative influence of speaker difference on speech emotion recognition is reduced. The training method comprises the steps of extracting the features of a label sample and a no-label sample of a certain speaker, obtaining the statistic result of all the features by means of multiple statistic functions, and executing the normalization algorithm; selecting a feature which can highlight the speech emotion of the speaker to be tested by means of the semi-supervised feature selection algorithm, wherein the semi-supervised feature selection algorithm can consider the manifold structure of data, the classification structure of data and information provided through the no-label data of the speaker to be tested at the same time; finally, training the classifier for recognition of speech emotion of the speaker to be tested by means of a support vector machine. By the adoption of the method, high recognition accuracy can be realized when the sample number for the speaker normalization algorithm is small.

The invention relates to searching methods. The searching methods include the scheme type searching method, the tree-shaped classified intelligent guiding demand searching method and the searching method integrating classified intelligent guiding, classified structuralization and schemes. According to the three searching methods, the living condition of a user can be intelligently perceived, a classification structure for knowledge and experience resources needed for the living condition is provided to guide the user to search, provided guide content has higher relatedness, rationality and systematicness, and finally a target searched for by the user can be hit more rapidly. Meanwhile, each time searching is conducted, lots of sets of solutions and knowledge data resources provided by different internet users can be given, comprehensive and systematic knowledge data resources of various file types can be searched for at a time, searching efficiency of the user can be greatly improved, and the user is helped to quickly obtain desired search results.