Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. Search results are identified for a received search query, including identifying a number of top search results. For each of the number of top search results, an associated page is evaluated to identify prominent entities that describe content represented by the page, wherein evaluating includes creating a list of prominent entities from each page. Selection criteria are determined using the list of prominent entities, including ranking the entities in the list of prominent entities based at least in part on importance of a given entity to a respective source page and a ranking of the source page, wherein determining includes determining a weighted list of entities to use as selection criteria. Using the selection criteria, one or more content items are determined to deliver along with the search results.

Abstract: Systems, methods, and computer-readable storage media that may be used to allow composite bidding in auctions are provided. One method includes receiving a plurality of initial bids. Each initial bid includes a bid amount for a content item to be displayed. The method further includes receiving one or more supplemental bids. Each of the supplemental bids is associated with one or more of the plurality of initial bids and comprises a supplemental amount. The method further includes determining, for each of the initial bids, a combined bid amount based on the bid amount of the initial bid and the supplemental amount of any supplemental bids associated with the initial bid. The method further includes determining one or more of the plurality of initial bids to win the auction based on the combined bid amounts.

Abstract: A system (and a method) are disclosed for optimizing lossless data compression in digital images systems. The system includes an optimized backward reference selection module and an entropy encoder. The optimized backward reference selection module selects the backward references that the backward reference distances and/or lengths are an integer multiple of size of data elements. The optimized backward reference selection module further compacts the entropy code of the backward references by favoring backward references that have the intrinsic locality of source data stream. The optimization offered by the backward reference selection module allows an improved compression ratio and faster compression speed for lossless image compression.

Abstract: Disclosed are systems for and methods of registering a deformable image with a reference image subject to a local or global quality of match. These systems and methods may use the quality of match to reduce effects of artifacts within the deformable image or the reference image on a deformation algorithm. The registration includes modifying the deformable image to match similar features in the reference image. The systems include a deformation engine configured for performing the deformation algorithm subject to the local or global quality of match. The systems and methods allow for correcting for cone beam computed tomography artifacts in one or more of the images.

Abstract: Disclosed are systems for and methods of registering (i.e., aligning) a deformable image with a reference image subject to a spatially variant flexibility model and/or a non-Gaussian smoothing model. These systems and methods allow for the consideration of differences between the ways in which structures of interest may move within a patient. The registration includes modifying the deformable image to match similar features in the reference image. The systems include a deformation engine configured for performing a deformation algorithm subject to the spatially variant flexibility and/or smoothing models.

Abstract: Disclosed are systems for and methods of registering (i.e., aligning) a deformable image with a reference image subject to a spatially variant flexibility model and/or a non-Gaussian smoothing model. These systems and methods allow for the consideration of differences between the ways in which structures of interest may move within a patient. The registration includes modifying the deformable image to match similar features in the reference image. The systems include a deformation engine configured for performing a deformation algorithm subject to the spatially variant flexibility and/or smoothing models.