Abstract: In multilevel clustering for a face recognition process, the first stage clustering is performed on each computing node, using the first x vector coefficients. From the resulting k clusters created in the first stage, a limited number of clusters are selected on which the second stage clustering is performed, using the next y vector coefficients. The search for a matching image is then limited to these selected clusters. Computational costs are reduced at the first stage clustering by using just the first x vector coefficients. Computational costs for the second stage clustering are also reduced by performing the second stage only with the limited number of clusters on a limited number of computing nodes. In this manner, the overall computational costs in the face recognition process is significantly reduced while maintaining a desired level of accuracy.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: A computer-implemented method includes receiving a column-oriented table comprising data for a column family, wherein the data for the column family comprises column names and corresponding column values, receiving a set of anonymous column names for the column family, receiving a set of synonymous column names for the column family, determining a weighting for each column name that is not an anonymous column name based on the count or frequency of occurrence of the column name and the synonymous column names within the column-oriented table, and processing the column-oriented table with a probabilistic matching engine using the weighting for each column name. A corresponding computer program product and computer system are also disclosed herein.

Abstract: Granular event management for service platforms. First bundle information relating to the content of a bundle is received at a first time, wherein the bundle relates to one or more resources in an application of a distributed computing environment. The bundle is monitored for a bundle event, wherein the bundle event is generated from a change in a lifecycle state of the bundle. Whether the bundle event has occurred is determined. Responsive to determining that the bundle event has occurred, second bundle information relating to the content of the bundle is received at a second time. Responsive to receiving the second bundle information, a granular event associated with the bundle event is identified, wherein the granular event relates to a difference between the first bundle information and the second bundle information.

Abstract: Granular event management for service platforms. First bundle information relating to the content of a bundle is received at a first time, wherein the bundle relates to one or more resources in an application of a distributed computing environment. The bundle is monitored for a bundle event, wherein the bundle event is generated from a change in a lifecycle state of the bundle. Whether the bundle event has occurred is determined. Responsive to determining that the bundle event has occurred, second bundle information relating to the content of the bundle is received at a second time. Responsive to receiving the second bundle information, a granular event associated with the bundle event is identified, wherein the granular event relates to a difference between the first bundle information and the second bundle information.

Abstract: Software that performs the following steps: (i) receiving first bundle information relating to the content of a bundle at a first time, wherein the bundle relates to one or more resources in an application of a distributed computing environment; (ii) monitoring the bundle for a bundle event, wherein the bundle event is generated from a change in a lifecycle state of the bundle; (iii) determining that the bundle event has occurred; (iv) responsive to determining that the bundle event has occurred, receiving second bundle information relating to the content of the bundle at a second time; and (v) responsive to receiving the second bundle information, identifying a granular event associated with the bundle event, wherein the granular event relates to a difference between the first bundle information and the second bundle information.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.