Fti Consulting, Inc.

Microsoft Technology Licensing, LLC

Adobe, Inc.

Nicholas I Nussbaum

William C Knight

John W Conwell

Paul Cador Roberts

William Gifford Holt

Laura Posey Benofsky

Leslie Helena Johnson

Madeline Jinx Bryant

A computer-implemented system and method for inclusion-based electronically stored information item cluster visual representation is provided. A set of reference electronically stored information items is maintained. A subset of the electronically stored information items is selected from the set, each associated with a classification code, each of the classification codes associated with a visual representation different from the visual representations of the remaining classification codes. The subset is combined with a set of uncoded electronically stored information items, each associated with a visual representation different from the visual representations of the classification codes. The combined electronically stored information items are grouped into clusters. Each of the clusters is visually represented, including displaying the visual representation associated with the code of each of the reference electronically stored information items in that cluster and the visual representation associated with each of the uncoded electronically stored information item in that cluster.

Computer-implemented system and method for inclusion-based electronically stored information item cluster visual representation

A computer-implemented system and method for visually suggesting classification for inclusion-based document cluster spines are provided. A set of reference documents each associated with a classification code is designated. A different set of un-coded documents is obtained. One or more of the coded reference documents are combined with a plurality of un-coded documents into a combined document set. The documents in the combined document set are grouped into clusters. The clusters are organized along one or more spines, each spine including a vector. A visual suggestion for assigning one of the classification codes to one of the spines is provided, including visually representing each of the reference concepts in the clusters along that spine.

Computer-implemented system and method for visually suggesting classification for inclusion-based cluster spines

A system and method for displaying relationships between concepts to provide classification suggestions via injection is provided. A reference set of concepts each associated with a classification code is designated. Clusters of uncoded concepts are designated. One or more of the uncoded concepts from at least one cluster are compared to the reference set. At least one of the concepts in the reference set that is similar to the one or more uncoded concepts is identified. The similar concepts are injected into the at least one cluster. Relationships between the uncoded concepts and the similar concepts in the at least one cluster are visually depicted as suggestions for classifying the uncoded concepts.

System and method for displaying relationships between concepts to provide classification suggestions via injection

An embodiment provides a computer-implemented system and method for providing visual suggestions for cluster classification. One or more clusters comprising uncoded documents from a set are obtained. A different set of reference documents that are each classified with a code is designated. A cluster center in one of the clusters is identified. The cluster center is compared to one or more of the reference documents. Those of the reference documents that are similar to the cluster are identified based on the comparison. The classification codes of each of the similar reference documents are visually represented as a suggestion for assigning one of the classification codes to the cluster.

Computer-implemented system and method for providing visual suggestions for cluster classification

A system and for providing reference documents as a suggestion for classifying uncoded documents is provided. A set of reference electronically stored information items, each associated with a classification code, is designated. One or more of the reference electronically stored information items is combined with a set of uncoded electronically stored information items. Clusters of the uncoded electronically stored information items and the one or more reference electronically stored information items are generated. Relationships between the uncoded electronically stored information items and the one or more reference electronically stored information items in at least one cluster are visually depicted as suggestions for classifying the uncoded electronically stored information items in that cluster.

System and method for displaying relationships between electronically stored information to provide classification suggestions via inclusion

A system and for displaying relationships between concepts to provide classification suggestions via inclusion is provided. A set of reference concepts each associated with a classification code is designated. One or more of the reference concepts are combined with a set of uncoded concepts. Clusters of the uncoded concepts and the one or more reference concepts are generated. Relationships between the uncoded concepts and the one or more reference concepts in at least one cluster are visually depicted as suggestions for classifying the uncoded concepts in that cluster.

System and method for displaying relationships between concepts to provide classification suggestions via inclusion

A system and method for displaying relationships between concepts to provide classification suggestions via nearest neighbor is provided. Reference concepts previously classified and a set of uncoded concepts are provided. At least one uncoded concept is compared with the reference concepts. One or more of the reference concepts that are similar to the at least one uncoded concept are identified. Relationships between the at least one uncoded concept and the similar reference concept are depicted on a display for classifying the at least one uncoded concept.

System and method for displaying relationships between concepts to provide classification suggestions via nearest neighbor

A system and for providing reference documents as a suggestion for classifying uncoded documents is provided. Reference electronically stored information items and a set of uncoded electronically stored information items are designated. Each of the reference information items are previously classified. At least one uncoded electronically stored information item is compared with the reference electronically stored information items. One or more of the reference electronically stored information items similar to the at least one uncoded electronically stored information items are identified. Relationships are depicted between the at least one uncoded electronically stored information item and the similar reference electronically stored information items for classifying the at least one uncoded electronically stored information item.

System and method for displaying relationships between electronically stored information to provide classification suggestions via nearest neighbor

A system and for providing reference documents as a suggestion for classifying uncoded documents is provided. A reference set of electronically stored information items, each associated with a classification code, is designated. Clusters of uncoded electronically stored information items are designated. One or more of the uncoded electronically stored information items from at least one cluster is compared to the reference set. At least one of the electronically stored information items in the reference set is identified as similar to the one or more uncoded electronically stored information items. The similar electronically stored information items are injected into the at least one cluster. Relationships are visually depicted between the uncoded electronically stored information items and the similar electronically stored information items in the at least one cluster as suggestions for classifying the uncoded electronically stored information items.

System and method for displaying relationships between electronically stored information to provide classification suggestions via injection

Access to an authentication image may be protected so that only authenticated processes have access to the image. The image can be displayed to authenticate a User Interface (UI) to a computer user. The image indicates the UI can be trusted. If the image is not displayed, it may be that an application UI is 'spoofed' to trick a user into providing sensitive information. Additionally, a large variety of different images can be used as authentication images, so spoofing one image be recognized by most users. A set of original images may be provided, along with image modification processes which can generate a large number of variations. Techniques for authenticating UIs in a virtual machine context are provided. A secure attention sequence is also provided, which allows users to test whether processes running on a computer are authenticated.

Systems and methods for authenticating a user interface to a computer user

Systems and methods for demonstrating authenticity of a virtual machine using a security image

Disclosed is a text justification program (20) that runs on a computer (22) in accordance with the invention. The text justification program provides an improved method for justifying text by introducing random character modifications throughout the text so that characters modified for justification purposes do not stand out.

Growing community of inventors

Seattle, WA, United States of America

Nicholas I Nussbaum