121 results about "Classification scheme" patented technology

Data for electronic images is stored in a server. Metadata is assigned to each image file and categorizes each image according to one or more schemes. Possible metadata schemes include image date, one or more image subjects, and image location. The image files may then be searched based on the assigned metadata. Images may be stored in a database that includes at least one virtual folder corresponding to each metadata scheme, with each image having at least one entry in each folder. Each folder may further have subfolders that correspond to sub-categories of a categorization scheme. Each image may then have an entry in each subfolder which describes a part of the image metadata. A date search interface allows a user to select a year of interest, then a month, and then a day. A location search interface allows a user to select a subregion of a displayed region.

Disclosed are methods and apparatus, including computer program products, implementing and using techniques for conversational advertising. Online commentary data representing comments and / or conversation is published on a data network. Relevant commentary data associated with an electronic advertisement can be identified on one or more electronic forums accessible over the data network. The identified commentary data can be filtered according to one or more parameters. The parameters can include, for example: commentary content, conversation volume, a designated timeframe, a topic, a tag, a keyword, an index, a link, a classification scheme, an authority, a relevance measure, a meme, a word, a phrase, and / or a ranking. Advertisement content, such as selected comments and / or metadata, is determined based on the commentary data. The determined advertisement content can be provided over the data network, for instance, as an RSS feed, to the electronic advertisement for incorporation into the electronic advertisement. Further commentary data on one or more electronic forums can similarly be processed to dynamically update and refine the advertisement.

Systems, tools, and methods are provided to automatically classify health insurance claims using classification models that are trained to predict whether a health insurance claim will be accepted or rejected by a target payer, analyze why the claim will be rejected, and then target the intervention(s) needed to appropriately handle the claim. Classification schemes are implemented which can automatically and continuously “learn” to predict the outcome of medical claims for target payers by analyzing historical claims results, with minimal or virtually no human expert intervention.

According to one embodiment, a malware classification scheme operating with an electronic device, configured with one or more hardware processors and a memory that stores the software handling the malware classification scheme that is conducted through analysis of behavior-based rules, is described. This malware classification scheme (i) conducts a determination whether a sequence of rules correspond to potential malicious behaviors detected during analysis of a malware sample within one or more virtual machines, and in response to determining that the sequence of rules corresponds to potential malicious behaviors, (ii) conducts an attempt to classify the malware sample to at least one known malware family based on an analysis of the sequence of rules.

According to one embodiment, a malware classification scheme operating with an electronic device, configured with one or more hardware processors and a memory that stores the software handling the malware classification scheme that is conducted through analysis of behavior-based rules, is described. This malware classification scheme (i) conducts a determination whether a sequence of rules correspond to potential malicious behaviors detected during analysis of a malware sample within one or more virtual machines, and in response to determining that the sequence of rules corresponds to potential malicious behaviors, (ii) conducts an attempt to classify the malware sample to at least one known malware family based on an analysis of the sequence of rules.

The present invention relates generally to a system and method for categorization of strings of words. More specifically, the present invention relates to a system and method for normalizing a string of words for use in a system for categorization of words in a predetermined categorization scheme. A method for adaptive categorization of words in a predetermined categorization scheme may include receiving a string of text, tagging the string of text, and normalizing the string of text. Normalization may be performed with a three-stage algorithm including a literal match processing stage, an approximation match processing stage, and a nearest neighbor match processing stage. The normalized string of text can be compared to a number of sequences of text in the predetermined categorization scheme.

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.

A multi-level classification scheme for classifying subscriber traffic at a network node coupled between subscribers of network services and providers of the network services includes two levels of classification. The subscriber traffic is received at the network service node. A first portion of the subscriber traffic is selectively routed from a plurality of first level routers to a plurality of second level routers within the network service node. The first portion of the subscriber traffic is then selectively routed from the second level routers to network applications executing within the network service node for processing.

A local area network includes computers and peripherals networked in a high-speed LAN with access to a WAN through a slower connection via a broadband modem. A LAN gateway device manages data traffic between the local computers and peripherals and between the LAN and the WAN. The LAN gateway device provides multiple features, such as wired or wireless links, security, firewall, NAT, DCHP, traffic management, and the like. Traffic management features include an automatic quality of service priority classification scheme. A quality of service module automatically assigns priorities to the data streams based on analysis of the data packets. A configuration access list can be provided with pre-configured priorities for some streams. Initially, all streams are given highest priority and subsequently the priority is automatically adapted to the results of the packet analysis. Traffic shaping techniques control the LAN gateway upstream output and enable IP fragmentation of TCP packets according to measured upstream channel conditions.

A local area network includes computers and peripherals networked in a high-speed LAN with access to a WAN through a slower connection via a broadband modem. A LAN gateway device manages data traffic between the local computers and peripherals and between the LAN and the WAN. The LAN gateway device provides multiple features, such as wired or wireless links, security, firewall, NAT, DCHP, traffic management, and the like. Traffic management features include an automatic quality of service priority classification scheme. A quality of service module automatically assigns priorities to the data streams based on analysis of the data packets. A configuration access list can be provided with pre-configured priorities for some streams. Initially, all streams are given highest priority and subsequently the priority is automatically adapted to the results of the packet analysis. Traffic shaping techniques control the LAN gateway upstream output and enable IP fragmentation of TCP packets according to measured upstream channel conditions.

A hybrid method of predicting the occurrence of future critical events in a computer cluster having a series of nodes records system performance parameters and the occurrence of past critical events. A data filter filters the logged to data to eliminate redundancies and decrease the data storage requirements of the system. Time-series models and rule based classification schemes are used to associate various system parameters with the past occurrence of critical events and predict the occurrence of future critical events. Ongoing processing jobs are migrated to nodes for which no critical events are predicted and future jobs are routed to more robust nodes.

A records management method that automatically classifies records and manages the records based on the classification. The method incorporates processes for receiving a classification scheme for a record, receiving declaration of an asset as a record, automatically classifying the record according to the classification scheme, and workflow processes for vital records review and review for approval of disposition of records. Numerous method variations, as well as related systems and computer-readable media are also disclosed.

Methods and apparatus to support dynamic allocation of traffic management resources in a network element. Shared pools of traffic management resources comprising an aggregation of local line card resources distributed across the line cards or a network element maintained by apparatus software. Incoming packets are classified into subscriber flows using a hierarchical classification scheme. In view of subscriber services and flow application types, traffic management resources are dynamically allocated from the shared pools, and traffic management policies associated with the subscriber services and application types are applied to the subscriber flows via the allocated resources. In response to detecting a subscriber flow has terminated, the allocated resources are release and made available to be dynamically re-allocated to subsequent subscriber flows.

The present invention is to disclose a scheduler which comprising a priority tagging module for receiving a plurality of information chucks, a plurality of output lines, and a WRR (weighted round robin) module. In this regards, each information chucks are tagged with a priority tag by said priority tagging module according to a priority classification scheme. In addition, the WRR module further comprises a bucket list, which has a plurality of buckets, and a control module. Each bucket stores a ticket, which comprises an identification representing one of the plurality of output lines and an associated weight value of the represented output line. Besides, the control module receives the tagged information chucks from the priority tagging module and schedules the tagged information chucks into the plurality of output lines according to a scheduling scheme based on said bucket list.

In embodiments of the present invention improved capabilities are described for identifying a classification scheme associated with product attributes of a grouping of products of an entity, receiving a record of data relating to an item of a competitor to the entity, the classification of which is uncertain, receiving a dictionary of attributes associated with products, and assigning a product code to the item, based on probabilistic matching among the attributes in the classification scheme, the attributes in the dictionary of attributes and at least one known attribute of the item.

A method for identifying a quantitative trait loci for a complex trait that is exhibited by a plurality of organisms in a population. The population is divided into a plurality of sub-populations using a classification scheme. Depending on what is known about the population, either a supervised or unsupervised classification is used. The classification scheme is derived from a plurality of cellular constituent measurements obtained from each organism in the population. For each sub-population in the plurality of sub-populations, a quantitative genetic analysis is performed on the sub-population in order to identify one or more quantitative trait loci for the complex trait.

An echocardiogram report generation method and system are disclosed for creating a complete medical report describing an echocardiogram without dictation, transcription or typing. The report is tailored to describe an individual patient and generated in complete grammatically complex sentences in response to the user's input with a text report that is complete and understandable for a primary care physician. The method and system provides the user the parallel options of an anatomical structure approach and a disease-specific approach in order to amplify the description of the echocardiogram in specific areas and give a more meaningful report. The echo report generated by the method and system creates a table of measurements and calculations in compact form, omitting any data fields not used. The method and system guides the user through the various areas of the heart which merit comment on the report and provides clear color coded segments of the heart muscle and provides several heart segment classifications so that the user can use his favored classification scheme. Diagnostic possibilities are provided for inclusion in the report conclusions.

The present invention provides a system and method for unrelated tools to categorized elements they control according to a common centrally managed classification scheme. The invention also provides a mechanism for storing, retrieving, and modifying classifying information. Users of unrelated tools that employ the subject invention see a single and consisted user interface.

A critical parameter / requirements management process model for managing a development program for a product and an associated product structure-driven critical parameter / requirements management tool and environment is provided. In one embodiment, the process includes a product structure classification scheme, a parameter / requirements classification scheme, a parameter / requirements process and maturity model, and in-process and requirements conformance views. In one embodiment, the tool includes a user interface layer, a business layer, a data layer, and a database. The user interface layer may include a product structure feature group, an add / edit / link feature group, a manage maturity feature group, and a manage conformance feature group. The tool may be implemented as a web server accessible to user workstations operating as thin clients. The tool may be integrated with one or more other product development tools, such as a document-driven requirements management, configuration management, manufacturing / production control system, problem management, and phased product delivery process tools.

In a method of 3D object detection, a learning procedure is used for feature selection from a feature set based on an annotated image-volume database, generating a set of selected features. A classifier is built using a classification scheme to distinguish between an object location and a non-object location and using the set of selected features. The classifier is applied at a candidate volume to determine whether the candidate volume contains an object of interest.

A method and system for controlling access to data via a data-centric security model. A business data classification scheme is defined as a hierarchy that includes data types aligned with business operations. A data element is labeled with a data label. The data label includes multiple attributes associated with a data-centric security model. A first attribute is a data type of the data element. A second attribute includes security requirements. Data control rules are automatically generated for an enforcement of the security requirements. The enforcement grants or denies to a user an access to the data element via a predefined action. The enforcement is based on a predefined association among the predefined action, a predefined role that includes the user, the data type and, optionally, a purpose for performing the predefined action.

The invention provides a method and a device for automatically classifying internet protocol (IP) service data streams in network access equipment. An access control protocol message (such as a dynamic host configuration protocol (DHCP) message) between a user terminal and network resource management equipment is monitored, a service type and network access resource configuration of the user terminal are identified according to the access control protocol message, and the IP data streams of a user are automatically classified. Therefore, a complete service development and service data steam classification scheme can be established in an access network system, so the configuration workload of an operator during service deployment is reduced and the operating flexibility is improved.

An apparatus for and method of adapting a bitstream to which scalable video coding (SVC) technology is applied are provided. The apparatus for adapting a bitstream includes: an Adaptation QoS information extraction unit extracting SVC adaptation operators, and relationships between the SVC adaptation operators and the usage environment information of a terminal from the Adaptation QoS information on the bitstream to which SVC technology is applied; an Adaptation Decision Taking Engine(ADTE) unit determining the SVC adaptation operators corresponding to the usage environment of the terminal receiving the transmitted bitstream among the SVC adaptation operators; and a SVC bitstream extraction unit extracting the bitstream based on the determined SVC adaptation operator. According to the apparatus and method, scalable video can be efficiently provided for changing network environments and multimedia usage environments, through adaptation of scalable video streams using an adaptation operator suggested in Classification Scheme (AQoSJDS).

Systems and methods which provide a joint machine learning and game theory modeling (MLGT) framework for video coding rate control (RC) are described. A machine learning based R-D model classification scheme may be provided to facilitate improved R-D model prediction accuracy and a mixed R-D model based game theory approach may be implemented to facilitate improved RC performance. For example, embodiments may provide inter frame Coding Tree Units (CTUs) level bit allocation and RC optimization in HEVC. Embodiments provide for the CTUs being classified into a plurality of categories, such as by using a support vector machine (SVM) based multi-classification scheme. An iterative solution search method may be implemented for the mixed R-D models based bit allocation method. Embodiments may additionally or alternatively refine the intra frame QP determination and the adaptive bit ratios among frames to facilitate improving the coding quality smoothness.

A system and method are provided for object tracking in a sequence of images of a scene acquired by an imaging device. The method includes generating a representation of an object and its surroundings; generating a tracking score based on the representation of the object and its surroundings, and a classification scheme; detecting a peak in the tracking score corresponding to a location of the object in the image; and adjusting the representation of the object and its surroundings and the classification scheme according to one or more new appearances of the object.

The present invention provides a method of modifying a classification scheme for classifying hand-written characters to thereby make the classification scheme user dependent. The classification scheme includes a number of allographs, each allograph representing a respective style of a respective letter. The method includes obtaining at least one hand-written character, and then selecting an allograph representing the character. One or more of the allographs are then modified in accordance with the selection, to thereby reflect the fact that the allograph corresponds to a style of letter used by the user.

Methods, apparatus and computer programs for flexible topic identification in a publish / subscribe communications network. Publishers and subscribers are able to specify their intentions regarding the topic classification schemes to be used by a publish / subscribe broker during subscription matching, and the broker is responsive to the specified intentions of either or both of the publisher or the subscriber to invoke a respective subscription matching component. The invoked matching components each implement a subscription matching process that is consistent with a specified topic classification scheme.

A system and method of classifying a high powered device (PD) with an increased current limit includes: connecting a voltage to the PD, measuring current through a classification resistor connected to the PD, and determining a PD classification signature based on the current according to classification steps such that a minimum classification step includes a minimum current of 0 mA and a maximum classification step includes a maximum current beyond a predetermined current limit. The system includes a PSE, voltage source, PD classification resistor, and PD voltage, connected to the P. An alternative embodiment further includes a discrete classification circuit and discrete classification resistor to be used to measure the current for classification purposes instead of the PD classification resistor when the PD and PD classification resistor do not support power classification under the classification scheme. The discrete classification circuit and discrete classification resistor can be located on-chip or off-chip.

The invention provides a scheduling method for a pumped storage power station to participate in an electric power system with wind power. First, the installed capacity of the pumped storage power station is classified, schemes are screened to obtain feasible schemes, and current scheduling models for the pumped storage power station to participate in the electric power system with wind power are established according to different feasible schemes; then, the models are solved to obtain operating points of a peak-load regulation unit of the pumped storage power station, unit combination and operating points of a thermal power unit and operating costs and air abandon volumes of the system in different feasible schemes; the air abandon volumes of the electric power system with wind power in all the feasible schemes are compared, and if the air abandon volumes are not consistent, the scheme with the smallest air abandon volume is selected as the optimum scheme; or else, the total positive spinning reserves and the total negative spinning reserves provided by the system in different periods are calculated according to the result, the expected value of electric quantity deficiency of the system is calculated with a Monte Carlo simulation method so as to obtain the power shortage cost, finally, the total costs of all the feasible schemes are compared, and the feasible scheme with the smallest total cost is selected as the optimum classification scheme.