Abstract: A method for generating a 3D object for visualizing multivariate data includes gathering subscriber information about subscribers of a network, receiving a user request to generate the 3D object, and generating object-data specifying a three-dimensional contour that models a relationship between at least two variables of the subscriber information and a measure. The three-dimensional contour is based on the received request and on the subscriber information, and the object data is generated in a format that is printable by a 3D printer. The object data is transmitted to the user.

Abstract: A method for generating a 3D object for visualizing multivariate data includes gathering subscriber information about subscribers of a network, receiving a user request to generate the 3D object, and generating object-data specifying a three-dimensional contour that models a relationship between at least two variables of the subscriber information and a measure. The three-dimensional contour is based on the received request and on the subscriber information, and the object data is generated in a format that is printable by a 3D printer. The object data is transmitted to the user.

Abstract: A biometric sample of the user is received at a biometric interface of a device as part of a biometric authentication request by the user, with the biometric sample characterized by a match score when the biometric sample matches at least one stored template that uniquely identifies the user. The presence of a context usage override condition of the biometric authentication request causes a context usage factor to be updated based upon the context usage override condition. A biometric recognition threshold required for the user to access the application and indicative of a threshold security level required for biometric authentication is calculated based on the context usage factor. The user is permitted to access the application when the match score of the biometric sample is at least equal to the biometric recognition threshold.

Abstract: Customized biometric authentication based at least in part upon usage history and learning capabilities of a user is provided. A biometric sample of a user received at a biometric interface of a device is compared with at least one stored template that uniquely identifies the user, and a match score generated when the biometric sample matches one of the stored templates. The match score is compared to a match score threshold value of an application that the user is attempting to access to generate match score comparison results, and an updated false reject ratio (FRR) for the last N matches of the user is calculated. The user is allowed to access the application when the match score comparison results indicate that the match score is at least equal to the match score threshold value and the updated FRR is less than a FRR threshold value of the application.

Abstract: A biometric sample of the user is received at a biometric interface of a device as part of a biometric authentication request by the user, with the biometric sample characterized by a match score when the biometric sample matches at least one stored template that uniquely identifies the user. The presence of a context usage override condition of the biometric authentication request causes a context usage factor to be updated based upon the context usage override condition. A biometric recognition threshold required for the user to access the application and indicative of a threshold security level required for biometric authentication is calculated based on the context usage factor. The user is permitted to access the application when the match score of the biometric sample is at least equal to the biometric recognition threshold.