Yu Cheng - Newcastle WA, US Kaifeng Yao - Beijing, CN Wenwu Zhu - Basking Ridge NJ, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 15/16 G06Q 99/00
US Classification:
709202, 709203, 709206, 709230, 705 11
Abstract:
Architectures for supporting diverse client types in transactional systems are provided. These architectures provide computer-based systems that include any number of processors. These systems may also include computer-readable storage media that provide a transaction assistant module. In turn, the transaction assistant module may include an adaptive presentation layer and a shared logic layer. The adaptive presentation layer includes presentation components that correspond respectively to various types of client devices. The shared logic layer includes back-end components that are shared between the client devices to perform common functions on behalf of the client devices.
- Redmond WA, US Lynsey LIU - Seattle WA, US Andrei A. GAIVORONSKI - Redmond WA, US Yu CHENG - Redmond WA, US Dinei Afonso Ferreira FLORENCIO - Redmond WA, US Cha ZHANG - Bellevue WA, US John Richard CORRING - Bellevue WA, US
The disclosure herein describes providing signature data of an input document. Text data of the input document is obtained (e.g., OCR data generated from image data) and a first set of signature fields are identified using signature key-value pairs of the text data. A first subset of signed signature fields and a first subset of unsigned signature fields are determined based on mapping to a set of predicted values. A second set of signature fields are determined using a region prediction model applied to image data of the input document. Region images associated with the first subset of unsigned signature fields and with second set of signature fields are obtained and a second set of signed signature fields and a second set of unsigned signature fields are determined using a signature recognition model. Signature output data is provided including signed signature fields and/or unsigned signature fields.
- Armonk NY, US Soumya Ghosh - Boston MA, US Ying Li - Fort Lee NJ, US Yu Cheng - Ossining NY, US Jianying Hu - Bronx NY, US
International Classification:
G06F 19/00
Abstract:
Embodiments describing an approach to receiving patient registry data and creating at least one control model based on the patient registry data. Transforming patient registry data into at least one prediction confident interval based on the at least one control model. Transforming the at least one prediction confident interval into at least one robust assessment score, and outputting the at least one robust assessment score for measuring disease progression indicators.
Dr. Cheng graduated from the Jinan Univ, Med Coll, Guangzhou City, Guangdong, China in 1986. He works in La Mesa, CA and specializes in Neurology. Dr. Cheng is affiliated with Sharp Grossmont Hospital.
Community Health Center 2650 Rdg Ave STE G155, Evanston, IL 60201 (847)5702700 (phone), (847)5702822 (fax)
Education:
Medical School Rosalind Franklin University/ Chicago Medical School Graduated: 2013
Languages:
English Russian Spanish
Description:
Dr. Cheng graduated from the Rosalind Franklin University/ Chicago Medical School in 2013. She works in Evanston, IL and specializes in Internal Medicine. Dr. Cheng is affiliated with Northshore University Health System Evanston Hospital.
Applications Engineer at NewPlus Systems & Technologies Ltd
Location:
Shanghai City, China
Industry:
Semiconductors
Work:
NewPlus Systems & Technologies Ltd - Shanghai since Oct 2010
Applications Engineer
Education:
University of Southern California 2008 - 2010
M.S., Electrical Engineering
University of Electronic Science and Technology of China 2004 - 2008
B.Eng., Electronic Science and Technology
Vancouver, BC, CanadaFounder & President at Leading Capital Hi,
I am an Accredited Mortgage Professional, AMP, and a Licensed Professional Engineer, PEng.