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Chen Chin Wu

from New York, NY
Age ~84
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Also known as:
Chen Yuh Ching, Chen Y Wu, Chen C Wu, Yechin Chen Wu, Yechin C Wu, Chen Ye Chin Wu, Chen Fong Wu, Ye Chen Wu, Ye Chin Chen Wu, Chen Yu-Ching
Related to:
Daivd W WenLauren Zhao, 49Bill C Yen, 48Wendy W Wu, 56Shiaw Wu, 72Jean C Yen, 75Sheng Lee Tian, 62Yong Yen Su, 75Justin C Lee, 34Evelyn SiaoShu Hua Chang, 52Yew L Lian, 71Shunji Wu, 42Victor P Wu, 29Steve Wu, 64Margaret Wu, 31Huangchih Wu, 45Shu Hua Wu, 64Jenny L Teng, 70Zhuo F Wu, 75
Connected to:
Agna J Wu, 42Al Y Wu, 87Alena C Wu, 55Alis W Wu, 35Altaira R Wu, 52Amanda B Wu, 42Amy Wu, 51Anastasia M Wu, 46Andi Wu, 35Andria J Wu, 34

Chen Wu Phones & Addresses

  • New York, NY
  • Bellevue, WA
  • Oradell, NJ
  • Oakland Gardens, NY
  • Long Island City, NY
  • Oakland Gdns, NY
  • Mamaroneck, NY

Professional Records

Medicine Doctors

Chen Wu Photo 1

Dr. Chen Wu, Brooklyn NY - MD (Doctor of Medicine)

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Specialties:
Cytopathology
Address:
4802 10Th Ave, Brooklyn, NY 11219
(718) 283-6000 (Phone)

Brooklyn
4802 10Th Ave, Brooklyn, NY 11219
(718) 283-6000 (Phone), (718) 283-8253 (Fax)
Certifications:
Anatomic & Clinical Pathology, 1998
Cytopathology, 1999
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Residency Hospital
St Louis U Hosp Med Ctr
Residency Hospital
Barnes-Jewish Hospital
Residency Hospital
Lactuse Med Ctr
Chen Wu Photo 2

Chen Nan Wu

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Specialties:
Surgery

Business Records

Name / Title
Company / Classification
Phones & Addresses
Chen Fen Wu
FUSION JAPANESE STEAK HOUSE LLC
Chen Wu
Manager, Principal
Great Wall Kitchen
Eating Place
47 Boundary Ave, Farmingdale, NY 11735
(516) 293-8889

Publications

Isbn (Books And Publications)

Theory and Analysis of Phased Array Antennas

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Author

Chen Pang Wu

ISBN #

0471025534

Wikipedia References

Chen Wu Photo 3

Chen Wu (Politician)

Us Patents

Automatic Labeling Of Objects In Sensor Data

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US Patent:
20230046289, Feb 16, 2023
Filed:
Aug 23, 2022
Appl. No.:
17/893376
Inventors:
- Mountain View CA, US
Changchang Wu - Bothell WA, US
Alper Ayvaci - San Jose CA, US
Tiffany Chen - Santa Clara CA, US
Lo Po Tsui - Mountain View CA, US
Zhinan Xu - San Jose CA, US
Chen Wu - Cupertino CA, US
Sean Rafferty - Sunnyvale CA, US
International Classification:
G06K 19/067
G09F 3/00
Abstract:
Aspects of the disclosure provide for automatically generating labels for sensor data. For instance, first sensor data, for a vehicle may be identified. This first sensor data may have been captured by a first sensor of the vehicle at a first location during a first point in time and may be associated with a first label for an object. Second sensor data for the vehicle may be identified. The second sensor data may have been captured by a second sensor of the vehicle at a second location at a second point in time outside of the first point in time. The second location is different from the first location. A determination may be made as to whether the object is a static object. Based on the determination that the object is a static object, the first label may be used to automatically generate a second label for the second sensor data.

Automatic Labeling Of Objects In Sensor Data

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US Patent:
20210303956, Sep 30, 2021
Filed:
Mar 24, 2020
Appl. No.:
16/827835
Inventors:
- Mountain View CA, US
Changchang Wu - Bothell WA, US
Alper Ayvaci - San Jose CA, US
Tiffany Chen - Santa Clara CA, US
Lo Po Tsui - Mountain View CA, US
Zhinan Xu - San Jose CA, US
Chen Wu - Cupertino CA, US
Sean Rafferty - Sunnyvale CA, US
International Classification:
G06K 19/067
G09F 3/00
Abstract:
Aspects of the disclosure provide for automatically generating labels for sensor data. For instance, first sensor data for a first vehicle may be identified. This first sensor data may have been captured by a first sensor of the vehicle at a first location during a first point in time and may be associated with a first label for an object. Second sensor data for a vehicle may be identified. The second sensor data may have been captured by a second sensor of the vehicle at a second location at a second point in time outside of the first point in time. The second location is different from the first location. The object is a static object may be determined. Based on the determination that the object is a static object, the first label may be used to automatically generate a second label for the second sensor data.
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Chen Chin Wu from New York, NY, age ~84 Get Report