Abstract: A user can refine a search over structured data by specifying that a label or an attribute value be used to further filter the results of a query.

Abstract: A method and system associating labels and attribute values with items in a collection of data. Providers can associate attributes and labels with their data or attributes and labels can be added to existing data. A preferred embodiment allows a content provider to upload data and to attach their own custom labels and attributes to items or to use predefined labels and attributes. Providers can upload data using a user interface or a bulk upload mechanism.

Abstract: Systems and methods of reducing artifacts in compressed images are described. In one aspect, spatially-shifted forward transforms of the input image are computed to generate respective sets of forward transform coefficients. Nonlinear transforms are applied to the forward transform coefficients of each set. Inverse transforms of the sets of nonlinearly transformed forward transform coefficients are computed to generate respective intermediate images. Respective measures of local spatial intensity variability are computed for pixels of each of the intermediate images. An output image is computed with pixel values computed based at least in part on the computed measures of local spatial intensity variability.

Abstract: Generation of a circuit design using a command language. The various approaches include generating in a memory arrangement respective instances of design blocks in response to user-entered commands that specify creation of the instances. Matrix-relative positions of the instances of design blocks are established in the memory arrangement in response to at least one user-entered command that specifies respective matrix positions of the instances. Representative connections between the instances are generated in the memory arrangement in response to a user-entered command having no specification of the connections.

Abstract: An exemplary embodiment includes a method that receives a plurality of mathematical expressions having a plurality of input variables. The mathematical expressions can then be parsed, checked for proper syntax and one or more abstract syntax trees can be formed. Next, the input variables are then assigned to input ports of the dynamically configurable arithmetic unit. Then using the parsed mathematical expressions with the assigned input ports, a list of operations to be performed by the dynamically configurable arithmetic unit are determined. And lastly, an interface to the dynamically configurable arithmetic unit is generated using in part the variable-to-input port assignments and the list of operations.

Abstract: A user can refine a search over structured data by specifying that a label or an attribute value be used to further filter the results of a query.

Abstract: Systems and methods of reducing artifacts in compressed images are described. In one aspect, spatially-shifted forward transforms of the input image are computed to generate respective sets of forward transform coefficients. Nonlinear transforms are applied to the forward transform coefficients of each set. Inverse transforms of the sets of nonlinearly transformed forward transform coefficients are computed to generate respective intermediate images. Respective measures of local spatial intensity variability are computed for pixels of each of the intermediate images. An output image is computed with pixel values computed based at least in part on the computed measures of local spatial intensity variability.

Abstract: A default shape representation can be used to transform data between formats having different shapes. The default shape representation can be made using a language with which a user is already familiar, such as XML. For example, a user may have XML data that the user wishes to use with a set of Java classes having a different shape. A user can simply apply an XML query language, such as XQuery, to translate the XML shape into the corresponding XML shape representation, and a query engine can take care of transforming the data to Java. A runtime component can then generate a Java object having that second shape. This allows a user to have and utilize a Java data structure using an XML language. Once users learn how to write a data transformation using XQuery, that user can use XQuery to transform XML to any other format, including another XML format.