Patent application number | Description | Published |
20100088390 | DATA SHARING PROXY FOR MOBILE DEVICES - Described is a technology that uses a web service as a proxy for transferring data between mobile communications devices. A short range communication link is established between a source device and a destination device. The source device sends a content identifier over the short range communication link to the destination device, that the destination devices uses to access the content, including when the short range communication link no longer exists. Also described is security for the content via authentication data (e.g., credentials) and policy associated with the content to control its access. The source device may select the destination device or may broadcast the content identifier to any number of destination devices within range. | 04-08-2010 |
20100107219 | AUTHENTICATION - CIRCLES OF TRUST - Within a surface computing environment users are provided a seamless and intuitive manner of modifying security levels associated with information. If a modification is to be made the user can perceive the modifications and the result of such modifications, such as on a display. When information is rendered within the surface computing environment and a condition changes, the user can quickly have that information concealed in order to mitigate unauthorized access to the information. | 04-29-2010 |
20100169134 | FOSTERING ENTERPRISE RELATIONSHIPS - The claimed subject matter relates to an architecture that can facilitate, enrich, or nurture relationships in a business enterprise environment. In particular, the architecture can construct a set of profiles associated with entities of the enterprise (e.g., employees, teams, departments, or the enterprise) based upon a wide range of transactions (e.g., behavior, activity, productivity, relationships, explicit or implicit feedback from collaborators . . . ) relating to the entity. Based upon these profiles, the architecture can determine a set of tasks and also identify advantageous relationships, wherein the tasks and relationships are deemed to facilitate accomplishing an objective to benefit the enterprise or entity. In addition, the architecture can nurture or cultivate the advantageous relationships by suggesting suitable behavior or performing opportunistic actions. | 07-01-2010 |
20110314024 | SEMANTIC CONTENT SEARCHING - One or more techniques and/or systems are disclosed that provide for document retrieval where a user can identify key attributes of potential target documents that are desirable (e.g., have a particular semantic content for the user). Further, relevant documents that comprise the desired semantic content can be retrieved. Additionally, the user can provide feedback on the retrieved documents, for example, based on key semantic concepts found in the documents, and the input can be used to update the classification. For example, this process can be iterated to improve the retrieval and precision of documents found through machine learning techniques. | 12-22-2011 |
20130151258 | Context Based Online Advertising - A software and/or hardware facility for inferring user context and delivering advertisements, such as coupons, using natural language and/or sentiment analysis is disclosed. The facility may infer context information based on a user's emotional state, attitude, needs, or intent from the user's interaction with or through a mobile device. The facility may then determine whether it is appropriate to deliver an advertisement to the user and select an advertisement for delivery. The facility may also determine an appropriate expiration time and/or discount amount for the advertisement. | 06-13-2013 |
20140140610 | Unsupervised Object Class Discovery via Bottom Up Multiple Class Learning - Techniques for unsupervised object class discovery via bottom-up multiple class learning are described. These techniques may include receiving multiple images containing one or more object classes. The multiple images may be analyzed to extract top saliency instances and least saliency instances. These saliency instances may be clustered to generate and/or update statistical models. The statistical models may be used to discover the one or more object classes. In some instances, the statistical models may be used to discover object classes of novel images. | 05-22-2014 |
20140270495 | Multiple Cluster Instance Learning for Image Classification - The techniques and systems described herein create and train a multiple clustered instance learning (MCIL) model based on image features and patterns extracted from training images. The techniques and systems separate each of the training images into a plurality of instances (or patches), and then learn multiple instance-level classifiers based on the extracted image features. The instance-level classifiers are then integrated into the MCIL model so that the MCIL model, when applied to unclassified images, can perform image-level classification, patch-level clustering, and pixel-level segmentation. | 09-18-2014 |
20160125307 | AIR QUALITY INFERENCE USING MULTIPLE DATA SOURCES - The use of data from multiple data source provides inferred air quality indices with respect to a particular pollutant for multiple areas without the addition of air quality monitor stations to those areas. Labeled air quality index data for a pollutant in a region may be obtained from one or more air quality monitor stations. Spatial features for the region may be extracted from spatially-related data for the region. The spatially-related data may include information on fixed infrastructures in the region. Likewise, temporal features for the region may be extracted from temporally-related data for the region that changes over time. A co-training based learning framework may be further applied to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region. | 05-05-2016 |