CONDUCTING CONTINUING EDUCATION CLASSES

Brand Owner (click to sort) Address Description
RM ORTHOAMERICA HOLDINGS 1064 GREENWOOD SPRINGS BOULEVARD SUITE A GREENWOOD IN 46143 Conducting Continuing Education Classes and Seminars for Dentists and Orthodontists;Dental and Orthodontic Laboratory Equipment;Dental and Orthodontic Preparations;Book and Pamphlets Related to Dental and Orthodontic Subjects;Consulting Services in the Field of Managing Dental and Orthodontic Practices; and Providing Computer Analysis of Orthodontic Supply Needs and Patient Records;Dental and Orthodontic Apparatus and Instruments;Providing Computer Diagnostic Analysis Services in the Field of Dentistry;
RMO ORTHOAMERICA HOLDINGS 1064 GREENWOOD SPRINGS BOULEVARD SUITE A GREENWOOD IN 46143 CONDUCTING CONTINUING EDUCATION CLASSES AND SEMINARS FOR DENTISTS AND ORTHODONTISTS;DENTAL AND ORTHODONTIC PREPARATIONS;BOOKS, PAMPHLETS AND NEWSLETTERS RELATED TO DENTAL AND ORTHODONTIC SUBJECTS;DENTAL AND ORTHODONTIC APPARATUS; MATERIALS AND EQUIPMENT AND ACCESSORIES TO DENTAL AND ORTHODONTIC MATERIALS;PROVIDING COMPUTER DIAGNOSTIC ANALYSIS SERVICES IN THE FIELD OF DENTISTRY;
ROCKY MOUNTAIN ORTHOAMERICA HOLDINGS 1064 GREENWOOD SPRINGS BOULEVARD SUITE A GREENWOOD IN 46143 [ Conducting Continuing Education Classes and Seminars for Dentists and Orthodontists ];[ Dental and Orthodontic Laboratory Equipment ];[ Dental and Orthodontic Preparations ];[ Books and Pamphlets Related to Dental and Orthodontic Subjects ];[ Consulting Services in the Field of Managing Dental and Orthodontic Practices; Providing Analysis of Orthodontic Supply Needs and Patient Records ];Dental and Orthodontic Apparatus and Instruments;[ Providing Computer Diagnostic Analysis Services in the Field of Dentistry ];
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. The present invention recites a method and computer program product for identifying one or more new pattern classes and incorporating the classes into a pattern recognition classifier as output classes. A plurality of input patterns determined not to be associated with any of a set of at least one represented output class by a pattern recognition classifier are rejected. The rejected pattern samples are then grouped into clusters according to the similarities between the pattern samples. Clusters that represent new pattern classes are identified via independent review. The classifier is then retrained to include the new pattern classes as output classes.