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Michael A Perrone

from Port Wentworth, GA
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Also known as:
Micheal Perrone, Michaela Perrone
Related to:
Laura L Williams, 41
Connected to:
Aubrey Perrone, 30Carolyn E Perrone, 63Celeste D Perrone, 88Ella Perrone, 98Florry Perrone, 101Gerard M Perrone, 62Immacolat Perrone, 74Jacquelyn M Perrone, 45Joanne M Perrone, 62Linda A Perrone, 67

Michael Perrone Phones & Addresses

  • Port Wentworth, GA
  • Fort Lauderdale, FL
  • Dania, FL
  • Margate, FL
  • 5301 NW 44Th Ave #IB, Ft Lauderdale, FL 33319

Resumes

Resumes

Michael Perrone Photo 1

Real Estate Acquisition Specialist

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Position:
Agent at Real Estate Acquisition-IC
Location:
Oceanside, California
Industry:
Telecommunications
Work:
Real Estate Acquisition-IC since Apr 2010
Agent
Independent Contractor / Telecom 2010 - 2012
Site Acquisition Specialist
WesTower Communications 2010 - 2010
Site Acq
MetroPCS 2009 - 2009
Project Mgr.
Delta Groups Engineering 2003 - 2003
Site Acquisition/Leasing
Education:
Northern Illinois University
Bachelor of Science, Sociology-Business Round Lake High
Michael Perrone Photo 2

Michael Perrone

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Location:
United States
Michael Perrone Photo 3

Michael Perrone

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Location:
Yorktown Heights, New York
Industry:
Computer Hardware
Michael Perrone Photo 4

Michael Perrone

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Location:
United States

Business Records

Name / Title
Company / Classification
Phones & Addresses
Michael Perrone
President, Director
SCLERODERMA CURE FOUNDATION INC
3800 NE 23 Ave, Pompano Beach, FL 33064

Publications

Us Patents

System And Method For Providing User-Directed Constraints For Handwriting Recognition

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US Patent:
6401067, Jun 4, 2002
Filed:
Jan 28, 1999
Appl. No.:
09/238288
Inventors:
James R. Lewis - Delray Beach FL
Michael P. Perrone - Yorktown NY
John F. Pitrelli - Danbury CT
Eugene H. Ratzlaff - Hopewell Junction NY
Jayashree Subrahmonia - White Plains NY
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G10L 1500
US Classification:
704275, 704231
Abstract:
A data recognition system and method which allows a user to select between a âdefault recognitionâ mode and a âconstrained recognitionâ mode via a user interface. In the default recognition mode, a recognition engine utilizes predetermined default recognition parameters to decode data (e. g. , handwriting and speech). In the constrained recognition mode, the user can select one or more of a plurality of recognition constraints which temporarily modify the default recognition parameters to decode uncharacteristic and/or special data. The recognition parameters associated with the selected constraint enable the recognition engine to utilize specific information to decode the special data, thereby providing increased recognition accuracy.

System And Method For Automatic Quality Assurance Of User Enrollment In A Recognition System

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US Patent:
6826306, Nov 30, 2004
Filed:
Jan 29, 1999
Appl. No.:
09/240146
Inventors:
James R. Lewis - Delray Beach FL
Julia E. Maners - Boca Raton FL
Kerry A. Ortega - Deerfield Beach FL
Michael P. Perrone - Yorktown NY
Eugene H. Ratzlaff - Hopewell Junction NY
Jayashree Subrahmonia - White Plains NY
Ron Van Buskirk - IndianTown FL
Huifang Wang - West Palm Beach FL
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06K 900
US Classification:
382187, 382228, 382119, 704244
Abstract:
A system and method for automatically providing quality assurance for user enrollment in a recognition system. Advantageously, the quality a new enrollment (i. e. , a newly trained user-dependent prototype) is assessed before the new enrollment is accepted in place of a current enrollment. This quality check is performed by decoding stored user test data using the new enrollment, comparing the decoding results of the new enrollment to the known script used to generate the test data to obtain an accuracy score for the new enrollment, and then comparing the accuracy score for the new enrollment with an accuracy score of a previous qualified enrollment (or, in the case where there is no previous, qualified enrollment, to the accuracy of the speaker independent model). If the decoding results of the new enrollment are acceptable, the new enrollment will be used for recognition; otherwise it will be rejected and discarded.

Bicycle Brake Lever Cap

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US Patent:
20220242517, Aug 4, 2022
Filed:
Jan 31, 2022
Appl. No.:
17/589356
Inventors:
Michael Perrone - Lighthouse Point FL, US
Julia Zolotova - Lighthouse Point FL, US
International Classification:
B62K 23/06
B62L 3/02
B62M 25/04
Abstract:
A brake lever end cap includes an elongated leg portion in which at least a portion of the brake lever is seated, and a foot portion joined to the leg portion and an end of the leg portion. The leg portion is joined to the foot portion such that the end of the leg portion joined to the foot portion is off center relative to the foot portion, and nearer the rear of the foot portion such that the majority of the foot portion extends forward of the leg portion.
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Michael A Perrone from Port Wentworth, GA Get Report