Gary Kuvich from 1943 27Th St, Brooklyn, NY 11229, Phone: (718) 787-9196

Resumes

Ibm Certified It Architect And Open Group Certified Master It Architect

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Location:

New York, NY

Industry:

Information Technology And Services

Work:

Ibm
Ibm Certified It Architect and Open Group Certified Master It Architect

Skills:

Java
Html
Websphere Portal
Websphere Application Server
Ibm Websphere Commerce
C++
Matlab
C#
Software Development
Software Design
Solution Architecture
Solution Selling
Unix
Linux
Oracle
Sql
Database Design
Db2
Wcm
Team Leadership
Distributed Team Management
F#
.Net
Technical Leadership
Application Architecture
Software Project Management
Content Management
Knowledge Representation
Consulting
Professional Mentoring
University Teaching
Solutions Design
Agile Methodologies
Business Analytics
Websphere Mq
E Commerce
Cloud Computing
Integration
Javascript
Servlets
Websphere Message Broker
Ibm Bpm
Angularjs
Node.js
Cassandra
Hadoop
Neo4J
Python
Watson Apis
Internet of Things

Certifications:

Ibm Certified It Architect / Open Group Certified Master It Architect

Publications

Us Patents

Active Semiotic System For Image And Video Understanding By Robots And Unmanned Vehicles, Methods And Apparatus

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US Patent:

20070239314, Oct 11, 2007

Filed:

May 18, 2006

Appl. No.:

11/419199

Inventors:

Gary Kuvich - Brooklyn NY, US

International Classification:

G06F 19/00

US Classification:

700245000

Abstract:

An active semiotic system that is able to create implicit symbols and their alphabets from features, structural combination of features, objects and, in general sense, patterns; create models with explicit structures that are labeled with said implicit symbols, and derive other models in the same format by means of diagrammatic- and graph transformations. The invention treats vision as a part of larger system that converts visual information into special knowledge structures that drive vision process, resolve ambiguity and uncertainty via feedback projections, and provide image understanding that is an interpretation of visual information in terms of such knowledge models. Mechanisms of image understanding, including mid- and high- level vision are presented as methods and algorithms of said active semiotic system, where they are special kinds of diagrammatic and graph transformations. In the invention, the derived structure and not the primary view is a subject for recognition. Such recognition is not affected by local changes and appearances of the object from a set of similar views, and a robot or unmanned vehicle can interpret images and video similar to human beings for better situation awareness and intelligent tactical behavior.

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