Abstract: A Unified Speech and Audio Codec (USAC) that may process a window sequence based on mode switching is provided. The USAC may perform encoding or decoding by overlapping between frames based on a folding point when mode switching occurs. The USAC may process different window sequences for each situation to perform encoding or decoding, and thereby may improve a coding efficiency.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: A semiconductor device is provided. The semiconductor device comprises a substrate, a gate electrode on the substrate, an element isolation film in the substrate and spaced apart from the gate electrode, an impurity region between the element isolation film and the gate electrode, the impurity region including a first impurity of a first concentration, and a depletion buffer region on at least a part of side walls of the element isolation film, the depletion buffer region including a second impurity of a second concentration higher than the first concentration, a conductivity type of the second impurity being the same as a conductivity type of the first impurity.

Abstract: An interactive user interface is disclosed that enables users to efficiently access and/or submit component-specific reviews of components of a product. The user interface displays an image of the product, and displays region identifiers that identify image regions corresponding to product components that are separately reviewable. When a user selects a particular region, the user interface may display component-specific reviews of the corresponding component, and/or may display an option to submit a component-specific review of the component. The user interface may be included in an interactive catalog page, such as a web page.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Abstract: Methods, devices and program products are provided which comprise the under control of one or more computer systems configured with specific executable instructions. The methods, devices and program products provide an image of an item for display, and the item is comprised of a plurality of components. The methods, devices and program products receive a selection of a component of interest from the plurality of components of the item, and obtain a component-level rating associated with the component of interest.

Abstract: Provided are, among other things, systems, methods and techniques for estimating the value of a macroeconomic measure, e.g., by: (a) generating a mapping from a first set of data values for macroeconomic variables to monetary values for a second set of assets based on historical data values for the macroeconomic variables and historical monetary values of the assets; generating estimates of the monetary values of the assets by inputting data values for macroeconomic variables into the mapping; and generating an estimate of a data value for at least one of the macroeconomic variables using the mapping and known monetary values for the assets.

Abstract: Systems and methods provide for quantifying the similarity between images that appear similar. Given a set of images, one image is selected as the base image, to which the remaining images are compared. One or more portions of the base image are selected for comparison and the color composition of these areas is calculated. Then, the color compositions are examined to quantify the similarity or difference between the images, which is assigned a score reflective of the quantitative similarity or difference. The results are displayed. These systems and methods allow, e.g, a website owner to check whether web pages have come through imperfectly across different browsers; the analysis identifies not just blatant errors, but even single-pixel shifts.

Abstract: Systems and methods provide for quantifying the similarity between images that appear similar. Given a set of images, one image is selected as the base image, to which the remaining images are compared. One or more portions of the base image are selected for comparison and the color composition of these areas is calculated. Then, the color compositions are examined to quantify the similarity or difference between the images, which is assigned a score reflective of the quantitative similarity or difference. The results are displayed. These systems and methods allow, e.g, a website owner to check whether web pages have come through imperfectly across different browsers; the analysis identifies not just blatant errors, but even single-pixel shifts.