Leland Stanford Junior University

Sap Ag

Sap Se

Andrew Y Ng

Dirk Wodtke

Vincent L Mendicino

Neil Srivatsan

Peter Latocha

Michael Seubert

Werner Gnan

Jian Xu

Yingjiong He

Miro Vins

Chinmaya Sarangi

Ashutosh Saxena

Andrea Mariotti

Kiran Gangadharappa

Kirpal Singh Khalsa

Apurv R Jawle

Amirhossein Kiani

Matthew Lungren

Jeremy Irvin

Mark Sabini

Nguyet Minh Phu

Chris Wang

Sharon Zhou

Pranav Rajpurkar

Sung Hwan Chung

Vincent Mendocino

Min Sun

Siddharth Batra

Systems and methods for radiology image classification from noisy images in accordance with embodiments of the invention are illustrated. One embodiment includes noisy image classification device, including a processor, camera circuitry, and a memory containing a noisy image classification application, where the noisy image classification application directs the processor to obtain image data describing a first image taken of a second image using the camera circuitry, where the second image was produced by a medical imaging device, and where the first image is a noisy version of the second image, classify the image data using a neural network trained to be robust to noise, generate an investigation recommendation based on the classification, and provide the investigation recommendation via a display.

Systems and methods for radiology image classification from noisy images

A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a feed event, a feed event document, and/or a feed event type business object.

Consistent interface for feed event, feed event document and feed event type

A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a user feed administrator, a user feed event link and/or a user feed settings business object.

Consistent interface for user feed administrator, user feed event link and user feed settings

A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a feed collaboration group and/or a feed event subscription business object.

Consistent interface for feed collaboration group and feed event subscription

Methods, systems, products and devices are implemented for editing video image frames. According to one such method, image content is embedded into video. A selection input is received for a candidate location in a video frame of the video. The candidate location is traced in subsequent video frames of the video by approximating three-dimensional camera motion between two frames using a model that compensates for camera rotations, camera translations and zooming, and by optimizing the approximation using statistical modeling of three-dimensional camera motion between video frames. Image content is embedded in the candidate location in the subsequent video frames of the video based upon the tracking thereof.

Systems, methods and devices for augmenting video content

Three-dimensional image data is generated. According to an example embodiment, three-dimensional depth information is estimated from a still image. A set of monocular images and their corresponding ground-truth depth maps are used to determine a relationship between monocular image features and the depth of image points. For different points in a particular image, the determined relationship is used together with local and global image features including monocular cues to determine relative depths of the points.

Arrangement and method for three-dimensional depth image construction

Method and system for widgetizing a web-based application are provided. An example system comprises a widgetizer trigger and a definition module. The widgetizer trigger may be configured to receive at a server computer system, from a web browser application running at a client computer system, a request to widgetize a web-based computer application to permit the computer application to be run as a desktop widget at the client computer system. The definition module may be configured to provide to the client computer application, in response to the request to widgetize, a definition file associated with the computer application, the definition file comprising a reference link to the computer application, the reference link including one or more parameters, the one or more parameters to instruct the computer application to generate output in a format suitable for use by a widget engine provided at the client computer system.

Widgetizing a web-based application

Systems and techniques to manage tasks in a data processing environment. In general, in one implementation, the technique includes monitoring a task in a data processing environment and, using an instance of a distributed application, assessing when to initiate recovery of the monitored task based on an expected execution time derived using the task's associated class and historical execution times. In another implementation, the technique includes forecasting an execution time of a task in a data processing environment using a class of the task and historical task execution times as input into a statistical analysis tool comprising multiple interconnected processing elements and servicing the task based on the forecast execution time.

Initiating recovery of an executing task using historical information and task information

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Stanford, CA, United States of America

Andrew Y Ng