181 results about "Degree of confidence" patented technology

Documents and other items can be delivered electronically from sender to recipient with a level of trustedness approaching or exceeding that provided by a personal document courier. A trusted electronic go-between can validate, witness and/or archive transactions while, in some cases, actively participating in or directing the transaction. Printed or imaged documents can be marked using handwritten signature images, seal images, electronic fingerprinting, watermarking, and/or steganography. Electronic commercial transactions and transmissions take place in a reliable, "trusted" virtual distribution environment that provides significant efficiency and cost savings benefits to users in addition to providing an extremely high degree of confidence and trustedness. The systems and techniques have many uses including but not limited to secure document delivery, execution of legal documents, and electronic data interchange (EDI).

Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

A autonomous driving computer system determines whether a driving environment has changed. One or more objects and/or object types in the driving environment may be identified as primary objects. The autonomous driving computer system may be configured to detect the primary objects and/or object types, and compare the detected objects and/or object types with the previous known location of the detected object and/or object types. The autonomous driving computer system may obtain several different metrics to facilitate the comparison. A confidence probability obtained from the comparison may indicate the degree of confidence that the autonomous driving computer system has in determining that the driving environment has actually changed.

A method and system for updating a group of network nodes, such as a group of MFPs, with replacement software in a manner that improves network performance and the predictability of a completion time for installation of the replacement software involves throttling distribution of a software update package to avoid resource oversubscription while time-bounding distribution so that installation of the software update on all of the network nodes can be completed by a certain time and, in some embodiments, further involves determining a start time for distribution of the software update package based at least in part on a scheduled installation time selected by a network administrator, which provides a high degree of confidence that installation of the software update across the entire group of network nodes will be completed around a scheduled time (e.g. during “off hours”) notwithstanding the staggered distribution of the software update package.

Aspects of the invention are directed to a visual-based system and method for non-destructively evaluating an uncoated turbine engine component. Aspects of the invention are well suited for high speed, high temperature components. Radiant energy emitted from an uncoated turbine engine component can be captured remotely and converted into a useful form, such as a high resolution image of the component. A plurality of images of the component can be captured over time and evaluated to identify failure modes. The system can also measure and map the temperature and/or radiance of the component. The system can facilitate the non-destructive evaluation of uncoated turbine components during engine operation without disassembly of the engine, thereby providing significant time and cost savings. Further, the system presents data to a user with sufficient context that allows an engine operator can evaluate the information with an increased degree of confidence and certainty.

Documents and other items can be delivered electronically from sender to recipient with a level of trustedness approaching or exceeding that provided by a personal document courier. A trusted electronic go-between can validate, witness and/or archive transactions while, in some cases, actively participating in or directing the transaction. Printed or imaged documents can be marked using handwritten signature images, seal images, electronic fingerprinting, watermarking, and/or steganography. Electronic commercial transactions and transmissions take place in a reliable, “trusted” virtual distribution environment that provides significant efficiency and cost savings benefits to users in addition to providing an extremely high degree of confidence and trustedness. The systems and techniques have many uses including but not limited to secure document delivery, execution of legal documents, and electronic data interchange (EDI).

Techniques are disclosed for multi-modal identification that utilize a classifier combination framework. One embodiment of the present invention provides a multi-modal identification system that includes a collection of classifiers that classify feature streams derived from audio and/or video sources. A classifier combination scheme is used to combine the classifier outputs having varying degrees of confidence, but in a robust way by using a confidence-based weighting scheme that operates on a “per-class” basis, rather than (or in addition to) the traditional “per-classifier” basis. The system can be distributed across several machines running independent feature classifiers on the subscription basis.

Embodiments of the invention allow a consumer to make an online purchase of an encountered item. In one embodiment the encountered item to be purchased is photographed by a camera in, e.g., a cell phone. The image is sent via the cellular phone network to the Internet where it is received by a commerce center. The commerce center includes automated and manual image-matching tools. If the image is matched (i.e., identified with a predetermined degree of confidence) a message is sent back to the consumer's cell phone to indicate the cost to purchase the image from the commerce center or from another source. The consumer indicates whether and how many of the item type to purchase. Assuming the consumer has registered with the commerce center to provide transaction information such as a name, credit card number, shipping address, etc., the commerce center completes the transaction. Transaction options are available, such as allowing the consumer to request more information to be sent to the consumer's personal computer email address, have hardcopy information mailed, allowing the consumer to specify the item delivered to another party, selecting the item as a gift, obtaining information on related items, etc.

Documents and other items can be delivered electronically from sender to recipient with a level of trustedness approaching or exceeding that provided by a personal document courier. A trusted electronic go-between can validate, witness and/or archive transactions while, in some cases, actively participating in or directing the transaction. Printed or imaged documents can be marked using handwritten signature images, seal images, electronic fingerprinting, watermarking, and/or steganography. Electronic commercial transactions and transmissions take place in a reliable, “trusted” virtual distribution environment that provides significant efficiency and cost savings benefits to users in addition to providing an extremely high degree of confidence and trustedness. The systems and techniques have many uses including but not limited to secure document delivery, execution of legal documents, and electronic data interchange (EDI).

Methods and systems for processing a set of images are described. In accordance with this disclosure, images are registered and an analysis is performed in view of one or more constraints (such as constraints based upon anatomical or physiological considerations). Weighting factors are determined based on the analysis. The weighting factors are used in subsequent processing of the registered (and/or unregistered) images and/or to formulate a visualization that conveys the degree of confidence in the motion estimation used in the registration process.

The present invention applies genetic algorithmic generation of test cases the simulation of VLSI logic circuit blocks. The present invention generates a number of original test cases. This aggregate of solutions is provided to a circuit simulator. The results of the simulator are maintained in a matrix or table. The results detail the number of times that particular logic states or events associated with the VLSI block have been stimulated by particular test cases. The aggregate of solutions and the simulation results are then analyzed by the genetic algorithm. The genetic algorithm preferably identifies states associated with the circuit simulation that have not been produced by the original test cases. The genetic algorithm then combines characteristics of various test cases to generate new test cases. The new test cases are provided to the circuit simulator thereby providing a higher degree of confidence that the entire VLSI chip design has been simulated.

Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

A method of detecting a supporting surface region in an image captured by a camera is disclosed. An object in the image is detected. One or more regions of the image in which a lower part of the detected object exists are determined. A degree of confidence for each of the regions is determined. The degree of confidence indicates likelihood of a corresponding region being a supporting surface region. One or more of the regions are selected based on each corresponding degree of confidence. Similarity of other regions in the image to at least one of the selected regions is determined. The supporting surface region is detected based on the determined similarity.

Embedding fingerprinting or watermarking information includes delivering information in-band within digital content representing a media stream, so unauthorized distributors must choose between degrading the media stream, or leaving sufficient information detectable that unauthorized distribution can be detected. For fingerprinting, the method provides a relatively high degree of confidence of both detecting at least one colluding unauthorized distributor, and not falsely accusing any innocent party of being an unauthorized distributor. Embedding fingerprinting or watermarking information includes selecting a sequence of locations within digital content, and embedding information in the form of a sequence of one or more bits at each of those locations, thus representing a set of marking symbols. Marking symbols cannot be readily manufactured without at least one colluding unauthorized distributor having received it, so any distributed digital content includes at least some marking symbols traceable to at least one colluding unauthorized distributor.

Searching information includes: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data belongs to a respective one of the plurality of categories; determining the plurality of confidence degrees of the current query data based at least in part on the generic attribute features; searching in a chosen category for a search result that corresponds to the current query data, the chosen category being one of the plurality of categories and being chosen based at least in part on the plurality of confidence degrees; and returning the search result.

Embodiments of the invention disclose a crowd counting method based on deep learning and an apparatus thereof. The method comprises the following steps of dividing a crowd picture to be detected into a plurality of picture blocks; based on an RPN candidate frame acquired from training in advance, generating a model, and determining head candidate frame areas in the plurality of picture blocks and degrees of confidence of the head candidate frame areas; according to the degrees of confidence, screening the determined head candidate frame areas and acquiring an area to be detected; and based on a Fast-RCNN correction model acquired from the training in advance, carrying out classification prediction on the area to be detected, and according to a classification prediction result, determining a crowd number included in the crowd picture to be detected. In the embodiments of the invention, the crowd counting method under high resolution is provided, and accuracy and robustness of crowd counting are increased.

A collection of techniques is disclosed to allow for the detection of malware that leverages pattern recognition and machine learning to effectively provide “content-less” malware detection, i.e., detecting a process as being an ‘anomaly’ not based on its particular content, but instead based on comparisons of its behavior to known (and characterized) ‘trusted’ application behaviors, i.e., the trusted applications' “phenotypes” and/or the phenotypes of known malware applications. By analyzing the patterns of normal behavior performed by trusted applications as well as malware applications, one can build a set of sophisticated, content-agnostic behavioral models (i.e., “application phenotypes”)—and later compare the processes executed on a user device to the stored behavioral models to determine whether the actual measured behavior reflects a “good” application, or if it differs from the stored behavioral models to a sufficient degree and with a sufficient degree of confidence, thus indicating a potentially malicious application or behavior.

Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

A certainty calculating circuit calculates certainties representing to what degrees of confidence respective ones of images representing a predetermined plurality of types of subject are contained in an image represented by accepted image data, the calculation being performed for every prescribed type of subject based upon a feature value obtained from the accepted image data. A density correction value calculating circuit calculates density correction values with regard to respective ones of the plurality of subject types. Upon being weighted by respective ones of weights that are based upon the calculated certainties of each of the subject types, the plurality of density correction values are unified in a density correction value unifying circuit. The density of the image represented by the accepted image data is corrected in an image correcting circuit using the unified density correction value.