University of Missouri

Chi-Ren Shyu

Matthew Nicholas Klaric

Curtis Herbert Davis

Grant Jason Scott

Brian Christopher Claywell

Jeffrey K Uhlmann

James Michael Keller

Michael Phinney

Hongfei Cao

The present disclosure relates to a persistent data structure employed as a tree structure with a frequent pattern mining paradigm. The number of nodes in the tree structure scales linearly with respect to the number unique items within the itemsets associated with the nodes. With the disclosed pattern mining paradigm, compressed representations of maximal patterns may be mined with the goal of detecting a frequent maximal pattern covers in a top down approach. Thus, large patterns are detected before their subsets yielding a significant reduction in computation time. The persistent data structure is a dynamic data structure which may be updated to add or delete nodes or transactional information without the need for recreating the entire tree structure. Furthermore, the persistent data structure may be run by a computing system either locally or on a parallelized distributed computing architecture to increase operational performance.

Frequent pattern mining on a frequent hierarchical pattern tree

Method, system and media for authenticating a subject as a user. Embodiments generate visual stories specific to the user and for which the subject must select the corresponding images from among a plurality of decoy images. Gaze tracking can be used to determine which images the user has selected without allowing an observer to learn which images have been selected. Images for the visual story can be retrieved from the user's social networking profile, and corresponding text storied generated to indicate which images should be selected. Multiple security levels are possible by varying the number of story images and decoy images.

Visual storytelling authentication

A method, system, and medium are provided for identifying terrestrial objects that have changed in a certain manner. One embodiment of the method includes receiving a query that includes one or more inputs, which are related to 1) a first terrestrial object ('first object') and 2) source change-detection information that describes change associated with the first object; applying the query to a dataset that includes indexed information that describes the imagery; based on the one or more inputs, receiving a query result by identifying a set of regions in the dataset that are respectively associated with change information that is similar to that of the source change-detection information; and presenting on a presentation device indications of at least a portion of the identified set of regions.

Identifying geographic areas based on change patterns detected from high-resolution, remotely sensed imagery

A method, system, and medium are provided for presenting aspects of change associated with a geographic area that has been captured by high-resolution, remotely sensed imagery. One embodiment of the method includes receiving a query directed at the geographic area that includes one or more inputs, the query seeking an identification of regions associated with the geographic area that are characterized by aspects of change based on the one or more inputs; applying the query to a dataset of geospatial information that stores imagery associated with the geographic area, wherein the dataset includes information that is sufficient to identify the regions, and wherein the imagery is derived from the high-resolution, remotely sensed imagery, which is characterized by having a resolution of three meters or less per pixel; receiving a first results set that includes a first plurality of keys and corresponding change scores, wherein, (1) each key is useable to identify a certain region, and (2) each change score indicates an amount of change in the certain region from a first state to a second state; and presenting at least a portion of the results set in a viewing application.

Visualizing geographic-area change detected from high-resolution, remotely sensed imagery

A method, system, and medium are provided for detecting change in a geographic area. One embodiment includes receiving a set of remotely sensed imagery that depicts the geographic area, automatically identifying changes in physical features of the geographic area by comparing, without user intervention, the set of remotely sensed imagery to a dataset of previously stored remotely sensed imagery that also depicts the geographic area, and deriving a change-quality measurement associated with the set of remotely sensed imagery, wherein the change-quality measurement quantifies a suitability of comparison of the set of remotely sensed imagery to the previously stored remotely sensed imagery.

Detecting geographic-area change using high-resolution, remotely sensed imagery

A method, system, and medium are provided for revising a first set of search results related to high-resolution satellite imagery. One embodiment of the method includes receiving a query that seeks high-resolution, remotely sensed images of geographic areas that have changed consistent with a given change signature; returning indications of the geographic areas; and presenting a first set of images that corresponds to the indications; presenting a set of feedback of options in connection with each of the set of images, wherein the feedback options include one or more of a more-like-this option and a less-like-this option; such that a second set of images can be identified based on receiving input by way of the feedback options.

Growing community of inventors

Columbia, MO, United States of America

Chi-Ren Shyu