CONDUCTING CLASSES FURNISHING CLASSROOM

Brand Owner (click to sort) Address Description
OFFSHORE SAILING SCHOOL OFFSHORE SAILING SCHOOL, LTD. 5 E. 40TH ST. NEW YORK NY 10016 CONDUCTING CLASSES AND FURNISHING CLASSROOM AND ON-WATER INSTRUCTION IN SAILING;APPLICANT DISCLAIMS THE WORDS SAILING SCHOOL SEPARATE AND APART FROM THE MARK AS SHOWN, RESERVING APPLICANTS COMMON LAW RIGHTS THEREIN.;
OFFSHORE SAILING SCHOOL OFFSHORE SAILING SCHOOL LTD. 16731 McGregor Boulevard, Suite 110 Ft. Myers FL 33908 conducting classes and furnishing classroom and on-water instruction in sailing;OFF SHORE SAILING SCHOOL;SAILING SCHOOL;
OFFSHORE SAILING SCHOOL OFFSHORE SAILING SCHOOL LTD., INC. 16731 McGregor Boulevard, Suite 110 FORT MYERS FL 33908 conducting classes and furnishing classroom and on-water instruction in sailing;
POWER CRUISE SCHOOL OFFSHORE SAILING SCHOOL LTD., INC. 16731 McGregor Boulevard, Suite 110 FORT MYERS FL 33908 conducting classes and furnishing classroom and on-water instruction in operating motor-driven boats;SCHOOL;
THE GREATEST CLASSROOM IN THE WORLD! OFFSHORE SAILING SCHOOL LTD., INC. 16731 McGregor Boulevard, Suite 110 FORT MYERS FL 33908 conducting classes and furnishing classroom and on-water instruction in sailing;
UNITED STATES SAILING ACADEMY OFFSHORE SAILING SCHOOL LTD., INC. 16731 McGregor Boulevard, Suite 110 FORT MYERS FL 33908 conducting classes and furnishing classroom and on-water instruction in sailing;UNITED STATES;
 

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.