| Patent application number | Description | Published |
|---|
| 20090287621 | Forward feature selection for support vector machines - In one embodiment, the present invention includes a method for training a Support Vector Machine (SVM) on a subset of features (d′) of a feature set having (d) features of a plurality of training instances to obtain a weight per instance, approximating a quality for the d features of the feature set using the weight per instance, ranking the d features of the feature set based on the approximated quality, and selecting a subset (q) of the features of the feature set based on the ranked approximated quality. Other embodiments are described and claimed. | 11-19-2009 |
| 20110016421 | TASK ORIENTED USER INTERFACE PLATFORM - An application management system may have a user interface in which a user may input a text phrase that describes a desired action. The system may generate metadata relating to the text phrase and distribute the metadata and text phrase to many different registered applications, some of which may be web based applications. Each application may return one or more suggested actions, along with some optional information from the application. The suggested actions may be ranked and presented on the user interface, and a user may select an action to be performed. The system may launch the application and have the action performed. | 01-20-2011 |
| 20110148857 | FINDING AND SHARING OF DIGITAL IMAGES BASED ON SHARED FACE MODELS - Systems and methods are described herein for finding and sharing digital images of a user, such as digital photographs of the user, that are located in collections of digital images belonging to others. In accordance with at least one implementation, a face model of a first user is built using a first user computer, wherein the face model is built based on digital images of the first user stored on or accessible to the first user computer. The face model of the first user is then made accessible to a second user computer for use by the second user computer in finding digital images of the first user stored on or accessible to the second user computer. The digital images found by the second user computer are then made accessible to the first user computer. | 06-23-2011 |
| 20110211736 | Ranking Based on Facial Image Analysis - A user's collection of images may be analyzed to identify people's faces within the images, then create clusters of similar faces, where each of the clusters may represent a person. The clusters may be ranked in order of size to determine a relative importance of the associated person to the user. The ranking may be used in many social networking applications to filter and present content that may be of interest to the user. In one use scenario, the clusters may be used to identify images from a second user's image collection, where the identified images may be pertinent or interesting to the first user. The ranking may also be a function of user interactions with the images, as well as other input not related to the images. The ranking may be incrementally updated when new images are added to the user's collection. | 09-01-2011 |
| 20110211737 | Event Matching in Social Networks - Images from two image databases may be correlated based on identifying a common event, which may be determined by image metadata as well as image content. The image metadata may include timestamps, geotagging metadata, or other tags, as well as input from a social network application in some embodiments. The image content may include analysis to find common persons based on facial recognition or color histograms, common background components, or other common features. The common event may be used to identify images that may be shared among the participants of the event by a social network application, as well as other purposes. | 09-01-2011 |
| 20110211764 | Social Network System with Recommendations - A social network application may identify images having common links between a first user's image collection and a second user's image collection. The common links may be identified through metadata or similar portions of the images. Using the first user's image collection, elements of interest may be identified and compared to a second user's image collection to find matches. When matches are found, the results may be selected from groups of results to show a diverse set of matches. The user may be presented with options to select and add matched images to the user's collection, as well as to browse more images that match one or more of the groups. | 09-01-2011 |
| 20120095944 | Forward Feature Selection For Support Vector Machines - In one embodiment, the present invention includes a method for training a Support Vector Machine (SVM) on a subset of features (d′) of a feature set having (d) features of a plurality of training instances to obtain a weight per instance, approximating a quality for the d features of the feature set using the weight per instance, ranking the d features of the feature set based on the approximated quality, and selecting a subset (q) of the features of the feature set based on the ranked approximated quality. Other embodiments are described and claimed. | 04-19-2012 |
