Abstract: A method and a system for solving transactions reconciliation tasks by integrating clustering and optimization are provided. The method includes: receiving first information that relates to a plurality of transactions; extracting, from the first information, a set of transaction-specific features and a set of transaction-specific textual information; generating at least one meta-transaction by clustering a subset of the plurality of transactions based on the extracted set of transaction-specific features and the extracted set of transaction-specific textual information; and matching transactions from within the clustered subset based on the amounts of the transactions.

Abstract: Systems and methods provide for an automated system for analyzing damage to insured property. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a mobile device for analysis at the server in real time. Depending on network conditions, the mobile device may transfer images to the server in high definition or low definition. The server may send notifications to the mobile device to remind a user of the mobile device to capture and transfer images to the server. The server may analyze images to provide feedback to the insured user (e.g., insurance estimates).

Abstract: Methods and apparatus provide for an automated system for analyzing damage to insured property. A server may receive images of a scene (e.g., a room, house, apartment, etc.) from a user at a mobile device. The server may analyze the images to create a holistic view of the scene. The server and/or mobile device may be able to generate dimensions of the scene and compare those dimensions to the dimensions of a damaged property at the scene to determine the extent of damage to the property. The server may also be able to detect gaps between images as it creates the holistic view of the scene.

Abstract: Systems and methods provide for an automated system for analyzing damage to insured property. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a mobile device for analysis at the server in real time. Depending on network conditions, the mobile device may transfer images to the server in high definition or low definition. The server may send notifications to the mobile device to remind a user of the mobile device to capture and transfer images to the server. The server may analyze images to provide feedback to the insured user (e.g., insurance estimates).

Abstract: Methods and apparatus provide for an automated system for analyzing damage to insured property. A server may receive images of a scene (e.g., a room, house, apartment, etc.) from a user at a mobile device. The server may analyze the images to create a holistic view of the scene. The server and/or mobile device may be able to generate dimensions of the scene and compare those dimensions to the dimensions of a damaged property at the scene to determine the extent of damage to the property. The server may also be able to detect gaps between images as it creates the holistic view of the scene.

Abstract: Methods and apparatus provide for an automated system for analyzing damage to insured property. A server may receive images of a scene (e.g., a room, house, apartment, etc.) from a user at a mobile device. The server may analyze the images to create a holistic view of the scene. The server and/or mobile device may be able to generate dimensions of the scene and compare those dimensions to the dimensions of a damaged property at the scene to determine the extent of damage to the property. The server may also be able to detect gaps between images as it creates the holistic view of the scene.

Abstract: Methods and apparatus provide for an automated system for analyzing damage to insured property. A server may receive images of a scene (e.g., a room, house, apartment, etc.) from a user at a mobile device. The server may analyze the images to create a holistic view of the scene. The server and/or mobile device may be able to generate dimensions of the scene and compare those dimensions to the dimensions of a damaged property at the scene to determine the extent of damage to the property. The server may also be able to detect gaps between images as it creates the holistic view of the scene.

Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic and thermal spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.

Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic and thermal spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.

Abstract: Method and apparatus for determining a metric for use in predicting properties of an unknown specimen belonging to a group of reference specimen electrical devices comprises application of a network analyzer for collecting impedance spectra for the reference specimens and determining centroids and thresholds for the group of reference specimens so that an unknown specimen may be confidently classified as a member of the reference group using the metric. If a trait is stored with the reference group of electrical device specimens, then, the trait may be predictably associated with the unknown specimen along with any traits identified with the unknown specimen associated with the reference group.

Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.

Abstract: Method and apparatus for determining a metric for use in predicting properties of an unknown specimen belonging to a group of reference specimen electrical devices comprises application of a network analyzer for collecting impedance spectra for the reference specimens and determining centroids and thresholds for the group of reference specimens so that an unknown specimen may be confidently classified as a member of the reference group using the metric. If a trait is stored with the reference group of electrical device specimens, then, the trait may be predictably associated with the unknown specimen along with any traits identified with the unknown specimen associated with the reference group.

Abstract: Method and apparatus for predicting properties of a target object comprise application of a search manager for analyzing parameters of a plurality of databases for a plurality of objects, the databases comprising an electrical, electromagnetic, acoustic spectral database (ESD), a micro-body assemblage database (MAD) and a database of image data whereby the databases store data objects containing identifying features, source information and information on site properties and context including time and frequency varying data. The method comprises application of multivariate statistical analysis and principal component analysis in combination with content-based image retrieval for providing two-dimensional attributes of three dimensional objects, for example, via preferential image segmentation using a tree of shapes and to predict further properties of objects by means of k-means clustering and related methods.

Abstract: A tree-structured index to multidimensional data is created using naturally occurring patterns and clusters within the data which permit efficient search and retrieval strategies in a database of DNA profiles. A search engine utilizes hierarchical decomposition of the database by identifying clusters of similar DNA profiles and maps to parallel computer architecture, allowing scale up past to previously feasible limits. Key benefits of the new method are logarithmic scale up and parallelization. These benefits are achieved by identification and utilization of naturally occurring patterns and clusters within stored data. The patterns and clusters enable the stored data to be partitioned into subsets of roughly equal size. The method can be applied recursively, resulting in a database tree that is balanced, meaning that all paths or branches through the tree have roughly the same length.

Abstract: A reducer cannon cleaning device is provided having a hollow handle connected to a hollow conduit, wherein the handle is connected to a source of pressurized air such that the air may flow through the handle and the conduit. Attached to the conduit opposite the handle is a generally circular plate. A gasket is disposed against the plate and the cleaning device is then placed against a filter cage and bag unit. Bursts of air can then be blown through the cleaning device and into the filter cage and bag. Several attachments can also be used with the cleaning device, some of which may be attached to the cleaning device and placed within the filter cage and bag. The various attachments may include holes therein, positioned at pre-determined locations and angles. The attachments direct and focus the air exiting the conduit and entering the filter caging unit. Another attachment is a mechanical hand unit, which can be connected to the distal end of the conduit.