Patent application number | Description | Published |
20090265242 | PRIVACY-CENTRIC AD MODELS THAT LEVERAGE SOCIAL GRAPHS - The claimed subject matter relates to an architecture that can mitigate privacy concerns in connection with ad targeting or data collection. In particular, architecture can be included in a personal mobile communication device such as a cell phone. During communication transactions between the host device and a peer device, shared information can be extracted either from content included in the communication or from metadata. Based upon the shared information, a social graph maintained on the host device can be updated. In addition, the host device can receive a large set of ads and select or tailor a custom ad from the set based upon the social graph. | 10-22-2009 |
20100070964 | EFFICIENT PATCHING - A facility for automatically processing software patches is described. The facility receives in a computing system a distinguished patch package for modifying the behavior of a programmatic entity. The facility automatically extracts from the distinguished patch package (1) patch application information that identifies a distinguished programmatic entity against which the patches to be applied, and (2) patch behavior information that specifies a manner in which to modify the behavior of the distinguished programmatic entity. The facility automatically adds to a patch table a distinguished entry containing the extracted patch application information and patch behavior information. | 03-18-2010 |
20100325563 | AUGMENTING A FIELD OF VIEW - The claimed subject matter relates to an architecture that can enhance an experience associated with indicia related to a local environment. In particular, the architecture can receive an image that depicts a view of the local environment including a set of entities represented in the image. One or more of the entities can be matched or correlated to modeled entities included in a geospatial model of the environment, potentially based upon location and direction, in order to scope or frame the view depicted in the image to a modeled view. In addition, the architecture can select additional content that can be presented. The additional content typically relates to services or data associated with modeled entities included in the geospatial model or associated with modeled entities included in an image-based data store. | 12-23-2010 |
20110040627 | VIRAL ADVERTISEMENTS - The claimed subject matter provides systems and/or methods for propagating viral advertising content to multiple mobile devices without utilizing an intermediary interposing hosting and/or distribution service. The system includes devices that receive viral advertising content on a mobile device, modify the viral advertising content with further viral advertising content previously received from a disparate mobile device, determine sets of recipients to whom the modified viral advertising content can be perceived as compelling, and disseminates the modified viral advertising content to the sets of recipients each of whom can be associated with a disparate mobile device. | 02-17-2011 |
20110055930 | CORRELATING PRIVATE AFFINITIES - The claimed subject matter relates to an architecture that can leverage private affinities in order to facilitate or enrich relationships between people. In particular, the architecture can receive a profile associated with a user wherein the profile includes a set of private affinities that are cryptographically protected from public inspection. The architecture can decrypt and/or cryptographically compare a private affinity from the profile to an affinity in a disparate profile (associated with a disparate user) in order to identify a matching affinity. Once a matching affinity is identified, a message indicating such can be provided to the user along with a request to publish certain revealed information to the disparate user, possibly based upon a mutual exchange of commensurate information from the disparate user. | 03-03-2011 |
20120166542 | Automated File Distribution - Automated file distribution is described. A member of a peer-to-peer network receives from a file server, a file to be distributed. The file is then distributed via the peer-to-peer network to other members of the peer-to-peer network. Members of the peer-to-peer network can choose whether or not to receive a file from another member based on a trust level or reputation associated with the member. The trust level may be based, at least in part, on a number of degrees of separation between the members. Furthermore the file is verified, for example, by validating a digital signature associated with the file. | 06-28-2012 |
20140096122 | EFFICIENT PATCHING - A facility for applying a software patch is described. Using an automatic patching agent, the facility receives the software patch. In response to receiving the software patch, without user intervention, the facility performs the following acts: First, the facility identifies an instance of an executable module that is currently loaded, and to which the received software patch pertains. Second, the facility applies the received software patch to the identified loaded executable module instance to modify the behavior of the identified executable module instance. | 04-03-2014 |
Patent application number | Description | Published |
20090147908 | Compression of computed tomography data - Methods, computer-readable mediums, apparatuses, and systems are provided. In one embodiment, the method acquires gain data for a view. The gain data is stored for subsequent use. Thereafter, the method acquires raw data for the view. For detectors in the view, the method compares the raw data to the gain data to determine if the result exceeds a threshold. Generally, information that exceeds the threshold is valid data. The method transmits only the valid data. Embodiments of the invention also include other methods, computer-readable mediums, apparatuses, and systems that contain features similar to the features in the above described method. | 06-11-2009 |
20090169079 | IMAGE BASED DENSITY AND VOLUME CORRECTIONS FOR THIN OBJECTS IN COMPUTED TOMOGRAPHY SYSTEMS - Image-based density and volume corrections for thin objects in computed tomography systems are provided. For example, in one embodiment a method is provide which computes an average computed tomography (“CT”) value and volume of voxels that are part of an object. Thereafter, a surface area and a surface density, a boundary area and a boundary density, and a corrected density and a corrected volume for the object are computed. Embodiments of the invention also include other methods, computer-readable mediums, apparatuses, and systems that contain features similar to the features in the above described method. | 07-02-2009 |
20090169081 | IMAGE BASED COMPUTED TOMOGRAPHY NUMBER AND VOLUME CORRECTIONS FOR THIN OBJECTS IN COMPUTED TOMOGRAPHY SYSTEMS - Methods, apparatuses, and computer-readable media are provided for image based CT Number and volume corrections for thin objects in computed tomography systems. For example, in one embodiment a method is provide which computes an average computed tomography (“CT”) value and volume of voxels that are part of an object. Thereafter, a surface area and a surface CT Number, a boundary area and a boundary CT Number, and a corrected CT Number and a corrected volume for the object are computed. Embodiments of the invention also include other methods, computer-readable mediums, apparatuses, and systems that contain features similar to the features in the above described method. | 07-02-2009 |
Patent application number | Description | Published |
20140280141 | METHOD AND SYSTEM FOR GROUPING AND CLASSIFYING OBJECTS IN COMPUTED TOMOGRAPHY DATA - A method for classifying objects in volumetric computed tomography (CT) data is described. The method is implemented by a computing device having a processor and a memory coupled to the processor. The method includes receiving, by the computing device, one or more volumetric CT data sets, identifying, by the computing device, a first object in the one or more volumetric CT data sets, identifying, by the computing device, a second object in the one or more volumetric CT data sets, determining, by the computing device, a first similarity amount between the first object and the second object, identifying, by the computing device, a first group comprising at least the first object and the second object, based at least in part on the first similarity amount, and designating, by the computing device, all of the objects in the first group as non-contraband. | 09-18-2014 |