Michael J Perrone

age ~43

from Yorktown Heights, NY

Also known as:
  • Mike J Perrone
  • Mikej Perrone
Phone and address:
3074 Wharton Dr, Yorktown Hgts, NY 10598
7186761183

Michael Perrone Phones & Addresses

  • 3074 Wharton Dr, Yorktown Hts, NY 10598 • 7186761183
  • Yorktown Heights, NY
  • s
  • 2318 Wickham Ave, Bronx, NY 10469 • 7186761183
  • St Augustine, FL
  • Jacksonville, FL
  • Paramus, NJ
  • Oradell, NJ
  • Ramsey, NJ

Work

  • Company:
    Exotic performance
  • Address:
    135 Linden Ave, Elmwood Park, NJ 07407
  • Phones:
    2018732102
  • Position:
    Executive officer
  • Industries:
    Legal Services
Name / Title
Company / Classification
Phones & Addresses
Michael Perrone
Executive Officer
Exotic Performance
Legal Services
135 Linden Ave, Elmwood Park, NJ 07407
Michael Perrone
Chairman
Pepsi-Cola
Air Transportation, Scheduled
700 Anderson Hill Rd, Purchase, NY 10577
Michael Perrone
Vice President - Sales
Osnet, Inc.
Computer Integrated Systems Design
6930 Manse St, Flushing, NY 11375
Michael Perrone
President
In Social Sign Inc
Custom Computer Programing · Custom Computer Programming Services, Nsk
26 Vly Rd, Cos Cob, CT 06807
PO Box 7793, Greenwich, CT 06836
Michael A. Perrone
Principal
Americuts Franchise Syste
Barber Shop
150A Grassy Pln St, Bethel, CT 06801
Michael Perrone
Principal
MKMX INTERACTIVE DESIGNS, INC
Business Services
Michael Perrone 674 Wyngate Dr W, Valley Stream, NY 11580
1225 Franklin Ave / SUITE 325, Garden City, NY 11530
674 Wyngate Dr W, Valley Stream, NY 11580
Michael Perrone
Sales Staff, Vice-President, VP Sales, Vice President - Sales
Osnet Inc
Computer Hardware · Computer Systems Design · Custom Computer Programming Svcs · Computers-System Designers & C
6930 Manse St, Forest Hills, NY 11375
7185202900
Michael J. Perrone
Director
Genesis 1 28 Feline Adoption Program I
Individual/Family Services
461 Pablo Pt Dr, Jacksonville, FL 32225

Resumes

Michael Perrone Photo 1

Michael Perrone

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Location:
United States
Michael Perrone Photo 2

Michael Perrone

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Location:
Yorktown Heights, New York
Industry:
Computer Hardware
Michael Perrone Photo 3

Michael Perrone

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Location:
United States
Michael Perrone Photo 4

Experienced Retail Executive

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Position:
DSA ZEGNA SPORTSWEAR at Saks Fifth Avenue
Location:
Greater New York City Area
Industry:
Retail
Work:
Saks Fifth Avenue
DSA ZEGNA SPORTSWEAR

Hugo Boss Sep 2004 - May 2006
Regional Manager
Michael Perrone Photo 5

Customer Service Manager At Canteen Corporation

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Position:
Customer Service Manager at Canteen Corporation
Location:
Greater New York City Area
Industry:
Food & Beverages
Work:
Canteen Corporation
Customer Service Manager

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.
  • Handwriting Recognition System And Method Using Compound Characters For Improved Recognition Accuracy

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  • US Patent:
    6567548, May 20, 2003
  • Filed:
    Jan 29, 1999
  • Appl. No.:
    09/240362
  • Inventors:
    Krishna S. Nathan - New York NY
    Michael P. Perrone - Yorktown NY
    John F. Pitrelli - Danbury CT
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06K 918
  • US Classification:
    382186, 382159, 382179, 382187
  • Abstract:
    A handwriting recognition system and method whereby various character sequences (which are typically âslurredâ together when handwritten) are each modelled as a single character (âcompound character modelâ) so as to provide increased decoding accuracy for slurred handwritten character sequences. In one aspect of the present invention, a method for generating a handwriting recognition system having compound character models comprises the steps of: providing an initial handwriting recognition system having individual character models; collecting and labelling a set of handwriting data; aligning the labelled set of handwriting data; generating compound character data using the aligned handwriting data; and retraining the initial recognition system with the compound character data to generate a new recognition system having compound character models. Once these compound character models are trained, they may be used to accurately decode slurred handwritten character sequences for which compound character models were previously generated. Once recognized, the compound characters are expanded into the constituent individual characters comprising the compound character.
  • Spatial Sorting And Formatting For Handwriting Recognition

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  • US Patent:
    6603881, Aug 5, 2003
  • Filed:
    Oct 23, 2001
  • Appl. No.:
    10/047152
  • Inventors:
    Michael P. Perrone - Yorktown NY
    Eugene H. Ratzlaff - Hopewell Junction NY
  • Assignee:
    International Business Machines Corporation - Armonk NJ
  • International Classification:
    G06K 918
  • US Classification:
    382186, 382181, 382187, 382189, 382202, 382225
  • Abstract:
    Systems and methods for reordering unconstrained handwriting data using both spatial and temporal interrelationships prior to recognition, and for spatially organizing and formatting machine recognized transcription results. The present invention allows a machine recognizer to generate and present a full and accurate transcription of unconstrained handwriting in its correct spatial context such that the transcription output can appear to âmirrorâ the corresponding handwriting.
  • 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.
  • Methods And Apparatus For Formatted Entry Of Electronic Ink

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  • US Patent:
    6897851, May 24, 2005
  • Filed:
    Jan 5, 2001
  • Appl. No.:
    09/755787
  • Inventors:
    Paul Robert Carini - Sherman CT, US
    Paul Turquand Keyser - Mount Kisco NY, US
    Michael Peter Perrone - Yorktown NY, US
    David A. Sawin - Durham NC, US
    Jeffrey S. Schaffer - Ridgefield CT, US
    Jayashree Subrahmonia - White Plains NY, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G09G005/00
  • US Classification:
    345173
  • Abstract:
    Several methods, and related apparatus, are provided for the entry of formatted ink data (i. e. , electronic ink) such that individual items in the data may be parsed and recognized more effectively. Each method allows users to enter formatted ink data in-line, which can then be recognized with constraints and parsed for use in other application programs or databases. In addition, a method is provided for allowing user-specialization of any of these entry methods (or other similar) methods. Note that in any of these methods, the user may send the formatted ink either to the default ink-processing application, or else directly to another application or database.
  • Methods And Apparatus For Automatic Page Break Detection

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  • US Patent:
    7260779, Aug 21, 2007
  • Filed:
    Sep 30, 2005
  • Appl. No.:
    11/240605
  • Inventors:
    Paul Turquand Keyser - Mount Kisco NY, US
    Michael Peter Perrone - Yorktown NY, US
    Eugene H. Ratzlaff - Hopewell Junction NY, US
    Jayashree Subrahmonia - White Plains NY, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06F 15/00
  • US Classification:
    715525, 382187
  • Abstract:
    In one aspect of the present invention, page breaks are identified in the following manner. A set of ink data and a document description are processed by a variety of scoring methods, each of which generates a score for each possible insertion point in the ink. These scores are combined to produce a ranked list of hypothesized page breaks for the corresponding ink data. This ranked list is then used either to insert page breaks automatically using a predefined threshold to determine a cut-off in the list; or to present, on-line, to a human for verification/approval; or a mixture of the two based on two thresholds: one for automatic insertion and the other for human verification. It is to be understood not all scoring methods need be used, that is, one or more of the scoring methods may be used as needed.
  • Handwritten Word Recognition Using Nearest Neighbor Techniques That Allow Adaptive Learning

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  • US Patent:
    7343041, Mar 11, 2008
  • Filed:
    Feb 19, 2002
  • Appl. No.:
    10/079763
  • Inventors:
    Thomas Yu-Kiu Kwok - Washington Township NJ, US
    Michael Peter Perrone - Yorktown Heights NY, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06K 9/00
    G06K 9/62
  • US Classification:
    382187, 382224
  • Abstract:
    A handwritten word is transcribed into a list of possibly correct transcriptions of the handwritten word. The list contains a number of text words, and this list is compared with previously stored set of lists of text words. Based on a metric, one or more nearest neighbor lists are selected from the set. A decision is made, according to a number of combination rules, as to which text word in the nearest neighbor lists or the recently transcribed list is the best transcription of the handwritten word. This best transcription is selected as the appropriate text word transcription of the handwritten word. The selected word is compared to a true transcription of the selected word. Machine learning techniques are used when the selected and true transcriptions differ. The machine learning techniques create or update rules that are used to determine which text word of the nearest neighbor lists or the recently transcribed list is the correct transcription of the handwritten word.
  • Method And System For The Compression Of Probability Tables

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  • US Patent:
    7400277, Jul 15, 2008
  • Filed:
    Apr 6, 2004
  • Appl. No.:
    10/818567
  • Inventors:
    Michael P. Perrone - Yorktown Heights NY, US
    Eugene H. Ratzlaff - Hopewell Junction NY, US
    Jianying Hu - Bronx NY, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    H03M 7/00
  • US Classification:
    341107, 341106, 341 65, 341 67
  • Abstract:
    The present invention relates to a method, computer program product and system for the compression of a probability table and the reconstruction of one or more probability elements using the compressed data and method. After determining a probability table that is to be compressed, the probability table is compressed using a first probability table compression method, wherein the probability table compression method creates a first compressed probability table. The first compressed probability table contains a plurality of probability elements. Further, the probability table is compressed using a second probability table compression method, wherein the probability table compression method creates a second compressed probability table. The second compressed probability table containing a plurality of probability elements. A first probability element reconstructed using the first compressed probability table is thereafter merged with a second probability element reconstructed using the second compressed probability table in order to produce a merged probability element.

Vehicle Records

  • Michael Perrone

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  • Address:
    2321 Kingsland Ave, Bronx, NY 10469
  • Phone:
    2014109824
  • VIN:
    WBAVA33587KX83351
  • Make:
    BMW
  • Model:
    3 SERIES
  • Year:
    2007

Facebook

Michael Perrone Photo 6

Michael Perrone

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Michael Perrone

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Michael Perrone

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Michael Perrone

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Michael Perrone

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Michael Perrone

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Michael Perrone

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Michael Perrone

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Classmates

Michael Perrone Photo 14

Michael Perrone

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Schools:
Northwest-Jones Elementary School Hartford CT 1960-1964
Community:
Bob Barwald, Gary Koropatkin, Sherrie Bell, Mel Raiman
Michael Perrone Photo 15

Michael Perrone

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Schools:
Alfred J. Kennedy Public School 193 Whitestone NY 1996-2000
Community:
David Federbush, Andrea Naclerio, Susan Regenbogen, Carla Sue
Michael Perrone Photo 16

Michael Perrone

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Schools:
Old Orchard Beach High School Old Orchard Beach ME 2002-2006
Community:
Kristina Hughes
Michael Perrone Photo 17

Michael Perrone

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Schools:
St. Michael High School New York NY 1976-1980
Community:
Violaine Esnault, David Walsh, Tom Messner, Dorothy Jermann
Michael Perrone Photo 18

Michael Perrone

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Schools:
Alfred G. Berner high Massapequa Park NY 1983-1987
Community:
Patricia Curran
Michael Perrone Photo 19

Michael Perrone

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Schools:
The Town School New York NY 1963-1968, St. David's School New York NY 1968-1970, The Millbrook School Millbrook NY 1970-1973
Community:
David Kaufholz, Campbell White, Ted Bruner
Michael Perrone Photo 20

Michael Perrone

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Schools:
Freeport High School Freeport NY 1955-1959
Michael Perrone Photo 21

St. Michael High School, ...

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Graduates:
Michael Perrone (1976-1980),
Thomas Russell (1952-1956)

Myspace

Michael Perrone Photo 22

MIKE Perrone Iceman

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Locality:
Brooklyn, Alabama
Gender:
Male
Birthday:
1950
Michael Perrone Photo 23

Michael Perrone

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Locality:
252 GATES county hellllll
Gender:
Male
Michael Perrone Photo 24

Michael Perrone

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Locality:
NEW YORK
Gender:
Male
Birthday:
1948
Michael Perrone Photo 25

michael perrone

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Locality:
NEW WINDSOR, New York
Gender:
Male
Birthday:
1933
Michael Perrone Photo 26

Michael Perrone

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Locality:
SEATTLE, Washington
Gender:
Male
Birthday:
1916

Youtube

#1 - Intro to the Multi-Force: Mike Perrone F...

This video is from a series of Forcible Entry training tips in which M...

  • Duration:
    5m 26s

Hail & Farewell 2021 - Michael Perrone

The Steadman Clinic and Steadman Philippon Research Institute salutes ...

  • Duration:
    1m 28s

APEC 12/10, Part #5 Michael Perrone 2nd Law...

In the Dec 10th, 2022 conference session, Justin Pearson will discuss ...

  • Duration:
    1h 22m 13s

#5 - Wooden Doors and Jambs: Mike Perrone For...

This video is from a series of Forcible Entry training tips in which M...

  • Duration:
    6m 18s

#8 - Forcing Outward Opening Doors: Mike Perr...

This video is from a series of Forcible Entry training tips in which M...

  • Duration:
    2m 33s

#2 - Gapping Techniques: Mike Perrone Forcibl...

This video is from a series of Forcible Entry training tips in which M...

  • Duration:
    7m 29s

Googleplus

Michael Perrone Photo 27

Michael Perrone

Work:
Sweet Nicholas Boutique - Owner (2010)
Education:
Amherst College - Economics, St Joseph Regional H.S
Michael Perrone Photo 28

Michael Perrone

Work:
New York Life Insurance Company - Financial Analyst (4)
Education:
Manhattan College - Finance
Michael Perrone Photo 29

Michael Perrone

Education:
Brigham Young University - MBA, University of Texas at Austin - Communications
Michael Perrone Photo 30

Michael Perrone

Education:
Guyer High School
Michael Perrone Photo 31

Michael Perrone

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Michael Perrone

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Michael Perrone

Michael Perrone Photo 34

Michael Perrone

Flickr


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