Fuji Xerox Co., Ltd.

Fujifilm Business Innovation Corp.

Jian Zhao

Francine R Chen

Patrick Chiu

Scott Carter

Matthew L Cooper

Yin-Ying Chen

Chidansh Amitkumar Bhatt

Siwei Fu

David Ayman Shamma

Anthony Dunnigan

Chelhwon Kim

Hideto Oda

Hajime Ueno

Yulius Tjahjadi

Bee-Yian Liew

John Edward Wenskovitch, Jr

Takanori Fujiwara

A method and system for analyzing a target network relative to a background network of data using machine learning. The method includes extracting a first feature matrix from an adjacency matrix representative of the target network, extracting a second feature matrix from an adjacency matrix representative of the background network, generating a projection matrix based on the first and second feature matrices using a contrastive learning algorithm, generating a first contrastive matrix representation of the target network based on the projection matrix and the first feature matrix, generating a second contrastive matrix representation of the background network based on the projection matrix and the second feature matrix, and displaying a visualization of unique features of the target network relative to the background network based on the first contrastive matrix and the second contrastive matrix.

System and method for contrastive network analysis and visualization

Example implementations described herein involve an interface for calculating and displaying missing links for data represented as a bipartite network, along with novel methods for improving link prediction algorithms in the related art. Through example implementations described herein, the accuracy of link prediction algorithms can be improved upon, thereby providing the user with a more accurate understanding of the data in the bipartite network.

Visual analysis framework for understanding missing links in bipartite networks

Example implementations described herein are directed to an interface for a worker dispatch system configured to dispatch routes and schedules for workers on a manufacturing floor. Example implementations can involve a system configured to execute a lot ordering and route optimization for each of a plurality of workers; determine rack placement of the plurality of racks and total travel distance for each worker; generate a deployment plan for each worker from the lot ordering, the route optimization, the rack placement, and the total travel distance, the deployment plan involving a pick-up route and a schedule for each worker; provide the deployment plan to an interface configured to receive modifications to the deployment plan; and upon receiving instructions to deploy the deployment plan through the interface, provide the deployment plan to a device of each worker.

Optimized parts pickup list and routes for efficient manufacturing using frequent pattern mining and visualization

A method of analyzing conversational messages may be provided. The method including receiving a query defining a timespan of messages, retrieving at least two conversational messages associated with the defined timespan from a plurality of interleaved messages, de-threading the at least two conversational messages to identify at least one conversational thread, and generating a visualization of conversational threads based on the defined timespan, the at least one conversational thread, the visualization organized into time intervals based on the defined timespan.

System and method for analyzing and visualizing team conversational data

A method and device for displaying a plurality of content items may be shown. The method may include detecting at least one topic associated with each of the plurality of content items, generating a set of topics based on the at least one topic associated with each of the plurality of content items, the set of topics comprising a number of topics associated with the plurality of content items, reducing the number of topics in the set of topics, by combining one of the number of topic in response to a determination that at least one topic in the set of topics is redundant, and generating a visualization, the visualization including at least one content item from the plurality of content items; and the set of topics.

System and method for user-oriented topic selection and browsing

A method of visualizing relationship data in a network connecting an entity of a first type with an entity of a second type is provided. The method includes detecting, within the network, a subnetwork pattern representing at least one relationship satisfying a condition, generating a visualization based on the detected subnetwork pattern. The visualization includes a first region representative of the first type of entity, a second region representative of the second type of entity, and a linking region connecting the first region to the second region and providing information about the at least one relationship satisfying the condition.

System and method for visual exploration of subnetwork patterns in two-mode networks

A method of visualizing search results is provided. The method includes receiving a content feature, detecting, within a network, a subnetwork pattern representing a relationship satisfying a condition and associated with an entity of a first or a second type, the entity being associated with the content feature, and generating a visualization based on the detected subnetwork pattern. The visualization includes a first region representative of the first type of entity, a second region representative of the second type of entity, and a linking region connecting the first region to the second region and providing information about the represented relationship.

System and method for visual exploration of search results in two-mode networks

A method and system for visualizing data associated with a search inquiry. The method includes receiving, a data set each data item having associated rank information, and similarity information indicative of similarities between the data item and one or more other data items, sorting the data set into a ranked list based on the rank information, masking a contiguous portion of the ranked list based on a boundary parameter, iteratively clustering a portion of the ranked list other than the masked contiguous portion based op the similarity information to produce a clustered, ranked data list; and generating and displaying a visualization representative of the clustered, ranked data list, the visualization comprising a shaped object representative of each cluster in the clustered, ranked data list.

System and method automatically sorting ranked items and generating a visual representation of ranked results

Example implementations described herein are directed to a graphical user interface (GUI) tool that provides representations of generated charts on a map, wherein distances between representations are provided based on similarity between charts. Similarity is determined through machine learning techniques that are applied on a vectorized form of charts. Example implementations described herein encode charts into vectors using deep learning techniques, which facilitates machine learning techniques such as nearest neighbor to be utilized to determine similarity between charts based on their corresponding vectors.

Systems and methods for summarizing and steering multi-user collaborative data analyses

Systems and methods directed to utilizing a first camera system to capture first images of one or more people in proximity to a tabletop; utilizing a second camera system to capture second images of one or more documents in proximity to the tabletop; generating a query for a database derived from people recognition conducted on the first images and text extraction on the second images; determining a first ranked list of people and a second ranked list of documents based on results of the query, the results based on a calculated ranked list of two-mode networks; and providing an interface on a display to access information about one or more people from the first ranked list of people and one or more documents from the second ranked list of documents.

System for searching documents and people based on detecting documents and people around a table

A method of visualizing recommended pieces of media content is provided. The method includes identifying at least one piece of media content associated with a received content feature associated with a viewed piece of media content, selecting at least one additional piece of media content linked to the viewed piece of media content by a sequential relationship, generating a two-dimensional visualization based on a content similarity between the identified at least one piece of media content, the viewed piece of media content, and the selected at least one additional piece of media content and the sequential relationship; and displaying the generated two-dimensional visualization.

System and method for visualizing and recommending media content based on sequential context

Example implementations described herein are directed to an improved interface for a computational notebook that represents cells of the computational notebook in a graph form involving nodes and links. Through such an improved interface, the execution order of the cells can be immediately understood, as well as the dependencies between different cells of executable code and the variables contained therein.

System and method for a computational notebook interface

A method of analyzing conversational messages may be provided. The method may include receiving a query defining a timespan of messages, retrieving at least one conversational message associated with the defined timespan from a plurality of interleaved messages, retrieving at least one message author associated with the defined timespan from a plurality authors associated with the plurality of interleaved messages, and generating a visualization of conversational threads based on the defined timespan, the at least one conversational message and the at least one message author, the visualization organized into time intervals based on the defined timespan.

A method and system for creating a visual representation of data is provided. The method may include receiving a user input to be represented by a glyph, generating, by a neural network, the glyph based on a vector extracted based on the received user input, linking an aspect of the generated glyph with an attribute of the data to be visually represented; and displaying the visual representation of the data created using the generated glyph to represent that linked aspect of the data.

System and method for creating visual representation of data based on generated glyphs

A method of visualizing relationship data is illustrated. The method includes receiving relationship data comprising a first type of entities, a second type of entities, and data representative of relationships between an entity of the first type and an entity of the second type, generating, based on the data representative of relationships, a bicluster connecting the entity of the first type to the entity of the second type, and generating a visualization based on the bicluster generated, wherein the visualization includes a first column representative of the first type of entities, and a second column representative of the second type of entities, wherein each row of the visualization corresponds to the generated bicluster.

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Cupertino, CA, United States of America

Jian Zhao