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
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
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
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
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
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
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
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
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.