Abstract: A system of enhancing biometric analysis matching utilizes an image sensor, such as a digital camera, to capture an image of a face of a person. The system may perform image enhancement, such as edge and contrast enhancement, prior to performing face matching. The enhancement may be localized to a given image region based on determined region illumination. The system may perform image processing and analysis comprising face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator may be generated using the results of the image enhancement and analysis. At least partly in response to the biometric recognition confidence indicator falling below a threshold enhancing recognition confidence using an image of visual indicia captured using the image sensor.

Abstract: The disclosure is directed to improved methods for preparing substituted quinolinylcyclohexylpropanamide compounds.

Abstract: A computer-implemented input-method editor process includes receiving a request from a user for an application-independent input method editor having written and spoken input capabilities, identifying that the user is about to provide spoken input to the application-independent input method editor, and receiving a spoken input from the user. The spoken input corresponds to input to an application and is converted to text that represents the spoken input. The text is provided as input to the application.

Abstract: Techniques are disclosed relating to increasing the amount of training data available to machine learning algorithms. A computer system may access an initial set of training data that specifies a plurality of sequences, each of which may define a set of data values. The computer system may amplify the initial set of training data to create a revised set of training data. The amplifying may include identifying sub-sequences of data values in ones of the plurality of sequences in the initial set of training data and using an inheritance algorithm to create a set of additional sequences of data values, where each one of the set of additional sequences may include sub-sequences of data values from at least two different sequences in the initial set of training data. The computer system may process the set of additional sequences using the machine learning algorithm to train a machine learning model.

Abstract: Techniques are disclosed relating to increasing the amount of training data available to machine learning algorithms. A computer system may access an initial set of training data that specifies a plurality of sequences, each of which may define a set of data values. The computer system may amplify the initial set of training data to create a revised set of training data. The amplifying may include identifying sub-sequences of data values in ones of the plurality of sequences in the initial set of training data and using an inheritance algorithm to create a set of additional sequences of data values, where each one of the set of additional sequences may include sub-sequences of data values from at least two different sequences in the initial set of training data. The computer system may process the set of additional sequences using the machine learning algorithm to train a machine learning model.

Abstract: Techniques are disclosed relating to increasing the amount of training data available to machine learning algorithms. A computer system may access an initial set of training data that specifies a plurality of sequences, each of which may define a set of data values. The computer system may amplify the initial set of training data to create a revised set of training data. The amplifying may include identifying sub-sequences of data values in ones of the plurality of sequences in the initial set of training data and using an inheritance algorithm to create a set of additional sequences of data values, where each one of the set of additional sequences may include sub-sequences of data values from at least two different sequences in the initial set of training data. The computer system may process the set of additional sequences using the machine learning algorithm to train a machine learning model.

Abstract: A golf club head comprises a loft angle no less than 18°, a striking face, a sole portion, and a top portion having an exterior surface. In an imaginary vertical plane spaced from a face center by no more than 10 mm and perpendicular to an imaginary striking face plane, an imaginary line segment has a length of 25 mm, a first endpoint located in the imaginary striking face plane, a second endpoint located above the exterior surface, and forms an angle ? with the striking face plane between 55° and 65°. The line segment is tangent to the exterior surface at a first point. A second point is located on the imaginary line segment and spaced from the first point by no less than 1 mm. The second point is spaced from the exterior surface by a gap distance that is no greater than 0.15 mm.

Abstract: Techniques are disclosed relating to increasing the amount of training data available to machine learning algorithms. A computer system may access an initial set of training data that specifies a plurality of sequences, each of which may define a set of data values. The computer system may amplify the initial set of training data to create a revised set of training data. The amplifying may include identifying sub-sequences of data values in ones of the plurality of sequences in the initial set of training data and using an inheritance algorithm to create a set of additional sequences of data values, where each one of the set of additional sequences may include sub-sequences of data values from at least two different sequences in the initial set of training data. The computer system may process the set of additional sequences using the machine learning algorithm to train a machine learning model.

Abstract: A genetic algorithm (GA) in combination with a random decision forest can be used to identify a feature subset related to an observed incident. The GA is used to select feature subsets for which data samples are obtained to train and test random decision forests per individual feature subset (“individual”) with respect to an observed incident. For each generation of a GA run, fitness values of the individuals are determined based on the testing of the corresponding random decision forest. At termination of the GA run, an individual representing a feature subset is identified as likely most related to the observed incident. The trained random decision forest corresponding to the individual or a subset of the trained random decision forest is used to predict or classify whether live values of the fittest feature subset indicate the observed incident.

Abstract: Embodiments are disclosed for distributing email delivery processing. In some embodiments, an inactivity indicator associated with a user agent is detected. Based on the inactivity indicator, a delivery completion request is generated and sent to a first sending user agent from which a first email is received prior to detecting the inactivity indicator. The delivery completion request includes an identifier for the first email and one or more selectable delivery options including at least a delivery termination option. In response to a reply from the first sender user agent to the delivery completion request that includes selection of the delivery termination option, delivery of the first email to the first user agent is terminated.

Abstract: A golf club head comprises a loft angle no less than 18°, a striking face, a sole portion, and a top portion having an exterior surface. In an imaginary vertical plane spaced from a face center by no more than 10 mm and perpendicular to an imaginary striking face plane, an imaginary line segment has a length of 25 mm, a first endpoint located in the imaginary striking face plane, a second endpoint located above the exterior surface, and forms an angle ? with the striking face plane between 55° and 65°. The line segment is tangent to the exterior surface at a first point. A second point is located on the imaginary line segment and spaced from the first point by no less than 1 mm. The second point is spaced from the exterior surface by a gap distance that is no greater than 0.15 mm.

Abstract: A golf club head comprises a loft angle no less than 18°, a striking face, a sole portion, and a top portion having an exterior surface. In an imaginary vertical plane spaced from a face center by no more than 10 mm and perpendicular to an imaginary striking face plane, an imaginary line segment has a length of 25 mm, a first endpoint located in the imaginary striking face plane, a second endpoint located above the exterior surface, and forms an angle ? with the striking face plane between 55° and 65°. The line segment is tangent to the exterior surface at a first point. A second point is located on the imaginary line segment and spaced from the first point by no less than 1 mm. The second point is spaced from the exterior surface by a gap distance that is no greater than 0.15 mm.

Abstract: A method includes determining a service task output definition corresponding to a first property within a first scope of a first service task in a compiled code file, and determining a service task input definition corresponding to a second property within a second scope of a second service task in the compiled code file. The method also includes formatting for display the service task output definition, the service task input definition, and a workflow variable. The method further includes determining a data-flow definition for a workflow process, which includes receiving a first workflow mapping between the service task output definition and the service task input definition, and receiving a second workflow mapping between an output of the second service task and the workflow variable. The method additionally includes determining a value of the workflow variable after execution of the first service task and the second service task.

Abstract: A golf club head comprises a loft angle no less than 18°, a striking face, a sole portion, and a top portion having an exterior surface. In an imaginary vertical plane spaced from a face center by no more than 10 mm and perpendicular to an imaginary striking face plane, an imaginary line segment has a length of 25 mm, a first endpoint located in the imaginary striking face plane, a second endpoint located above the exterior surface, and forms an angle ? with the striking face plane between 55° and 65°. The line segment is tangent to the exterior surface at a first point. A second point is located on the imaginary line segment and spaced from the first point by no less than 1 mm. The second point is spaced from the exterior surface by a gap distance that is no greater than 0.15 mm.

Abstract: A golf club head comprises a loft angle no less than 18°, a striking face, a sole portion, and a top portion having an exterior surface. In an imaginary vertical plane spaced from a face center by no more than 10 mm and perpendicular to an imaginary striking face plane, an imaginary line segment has a length of 25 mm, a first endpoint located in the imaginary striking face plane, a second endpoint located above the exterior surface, and forms an angle ? with the striking face plane between 55° and 65°. The line segment is tangent to the exterior surface at a first point. A second point is located on the imaginary line segment and spaced from the first point by no less than 1 mm. The second point is spaced from the exterior surface by a gap distance that is no greater than 0.15 mm.

Abstract: A golf club head comprises a loft angle no less than 18°, a striking face, a sole portion, and a top portion having an exterior surface. In an imaginary vertical plane spaced from a face center by no more than 10 mm and perpendicular to an imaginary striking face plane, an imaginary line segment has a length of 25 mm, a first endpoint located in the imaginary striking face plane, a second endpoint located above the exterior surface, and forms an angle ? with the striking face plane between 55° and 65°. The line segment is tangent to the exterior surface at a first point. A second point is located on the imaginary line segment and spaced from the first point by no less than 1 mm. The second point is spaced from the exterior surface by a gap distance that is no greater than 0.15 mm.