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Kevin Lee Zhu, 35312 E 30Th St UNIT 6D, New York, NY 10016

Kevin Zhu Phones & Addresses

New York, NY   

Detroit, MI   

Indianapolis, IN   

Seattle, WA   

Minneapolis, MN   

Ithaca, NY   

Edina, MN   

Allston, MA   

Madison, WI   

Saint Paul, MN   

5915 Crescent Dr, Minneapolis, MN 55436    952-8480825   

Work

Company: Who.a.u holdings inc Aug 2013 Position: Human resources and operations assistant

Education

School / High School: CUNY Hunter College- New York, NY Sep 2007 Specialities: B.A. in Psychology

Mentions for Kevin Lee Zhu

Kevin Zhu resumes & CV records

Resumes

Kevin Zhu Photo 40

Kevin Zhu - Brooklyn, NY

Work:
WHO.A.U Holdings Inc Aug 2013 to 2000
Human Resources and Operations Assistant
WHO.A.U - New York, NY Oct 2012 to Mar 2013
Store Manager
WHO.A.U - New York, NY Aug 2011 to Oct 2012
Keyholder
WHO.A.U - New York, NY May 2011 to Aug 2011
Brand Representative
American Eagle Outfitters - New York, NY Feb 2010 to Oct 2010
Head Cashier
American Eagle Outfitters - New York, NY Nov 2008 to Feb 2010
Sales Associate
S.Y.E.P - Brooklyn, NY Jun 2006 to Sep 2006
Office Assistant
Education:
CUNY Hunter College - New York, NY Sep 2007 to Sep 2012
B.A. in Psychology

Publications & IP owners

Us Patents

Real-Time Image Classification And Automated Image Content Curation

US Patent:
2014029, Oct 2, 2014
Filed:
Apr 2, 2013
Appl. No.:
13/855644
Inventors:
Microsoft Corporation - , US
Kevin Zhu - Redmond WA, US
Greg Edmiston - Redmond WA, US
Julie Kohler - Redmond WA, US
Azure Zhu - Redmond WA, US
Omar Shahine - Redmond WA, US
Seung-Hae Park - Redmond WA, US
Ryan Hoge - Redmond WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06K 9/62
H04N 1/00
G06K 9/00
H04N 5/232
G06K 9/46
G06K 9/18
US Classification:
3482071, 382190, 382165, 34833302
Abstract:
The present disclosure describes real-time image classification and automated image content curation. An image is uploaded to a database of a real-time image classification system after its capture using an image capture device. The real-time image classification system automatically determines a classification for the image in real-time based on a feature optically extracted from the image using an optical recognition module. The classification is associated with the image in the database and transmitted to the image capture device for display together with the image.

Isbn (Books And Publications)

Global E-Commerce: Impacts Of National Environment And Policy

Author:
Kevin Zhu
ISBN #:
0521848229

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