84 results about "Classification procedure" patented technology

A method for grouping IM statements together into a plurality of topics and displaying the topics in separate windows comprising a Configuration Program (CP), a Topic Creation Program (TCP), and a Statement Classification Program (SCP). The CP allows a user to configure the global options for the present invention such as designating the parties authorized to create a topic, specifying whether the topic name and / or keywords are negotiable, and specifying whether icons should be displayed with the topic name. The TCP allows a user to create a topic by specifying the topic name, selecting a statement classification method, designating keywords to be used in searching the statements, and adding an icon to the topic name. When a statement is submitted to an IM channel, the SCP places the statement into one of the topics based on the statement classification method selected in the TCP.

A method for classification of a program includes receiving transcript information associated with the program, identifying at least one cue of a plurality of cues in the transcript information wherein each of the plurality of cues has associated therewith a type of program, correlating the at least one cue of the plurality of cues identified in the transcript information to the type of program, and classifying the program based on the correlation of the at least one cue of the plurality of cues identified in the transcript information.

A method for grouping IM statements together into a plurality of topics and displaying the topics in separate windows comprising a Configuration Program (CP), a Topic Creation Program (TCP), and a Statement Classification Program (SCP). The CP allows a user to configure the global options for the present invention such as designating the parties authorized to create a topic, specifying whether the topic name and / or keywords are negotiable, and specifying whether icons should be displayed with the topic name. The TCP allows a user to create a topic by specifying the topic name, selecting a statement classification method, designating keywords to be used in searching the statements, and adding an icon to the topic name. When a statement is submitted to an IM channel, the SCP places the statement into one of the topics based on the statement classification method selected in the TCP.

A technique is provided for implementing deep-packet inspection (DPI) services in a MPLS / VPN configured computer network. The technique employs a novel self-learning algorithm that analyzes data packets belonging to different unidirectional tunnels in the MPLS / VPN network and determines whether the analyzed data packets transport data in the same VPN. If so, the unidirectional tunnels containing the analyzed data packets are associated with a common layer-2 identification (L2ID) value. Unlike conventional flow-classification procedures, the inventive technique classifies a data packet by first associating the data packet with a L2ID value and then classifying the packet as belonging to a particular data flow based on a novel 6-tuple consisting of a conventional 5-tuple plus the packet's L2ID value. Because unidirectional tunnels corresponding to the same application data flow transport data packets having the same set of 6-tuple values, DPI services can apply application-level policies to classified data packets consistent with their 6-tuple flow classifications.

A defect is efficiently and effectively classified by accurately determining the state of overlap between a design layout pattern and the defect. This leads to simple identification of a systematic defect. A defective image obtained through defect inspection or review of a semiconductor device is automatically pattern-matched with design layout data. A defect is superimposed on a design layout pattern for at least one layer of a target layer, a layer immediately above the target layer, and a layer immediately below the target layer. The state of overlap of the defect is determined as within the pattern, over the pattern, or outside the pattern, and the defect is automatically classified.

The present invention relates to a system and method to facilitate efficient and automated processing of messages. A bulk filter is provided to categorize one or more received messages according to a range of classification, the range spanning from at least a bulk classification of values to at least a non-bulk classification of values. A second filter is provided to further classify the received messages in order to automatically facilitate processing of the messages. The range of classification includes a continuum of values based on a likelihood that the received messages are determined to tend toward or fall within the bulk classification of values or toward / within the non-bulk classification of values. Also, the bulk filter or filters can include an adjustable threshold setting to determine or define differences between the bulk classifications and the non-bulk classifications. Various combinations of filters are possible including multiple filter arrangements, parallel arrangements, cascaded arrangements, and other arrangements to facilitate filtering and sorting of messages in order that users can more efficiently process such information in a timely manner. Applications include the enhancement of classification procedures for identifying urgent or important email from non-urgent or non-important email, with the combination of bulk-email filters with urgency or importance filters in cascaded and parallel filtering methodologies.

A computer-implemented system and method for controlling document image capture are provided. The method includes identifying a categorization model for categorizing image frames and configuring an image capture device, based on the identified categorization model. A flow of frames of a same document captured with the configured image capture device is received and an image representation generated for each of a plurality of frames within the flow of frames. With the identified categorization model, for each of the plurality of frames, a confidence for at least one category is assigned to the frame based on the image representation. A category is assigned to the document when a threshold confidence for one of the at least one categories is assigned. An automatic capture of an image of the document is triggered based on the assigned category.

A face categorizing apparatus for categorizing contours of a face of an examined subject is disclosed that includes image capturing means for capturing a face image of the face of the examined subject; control means for controlling operations for categorizing the face of the captured face image into one of at least four predetermined types of categories based on at least two indices including facial space and facial depth / bone structure / fleshiness; and indication means for indicating a categorization result of categorizing the face by the control means on a map having the four predetermined types of categories positioned at corresponding quadrants of a plane coordinate system.