PASS IT ON

Brand Owner (click to sort) Address Description
PASSITON.COM The Foundation for a Better Life 555 17th Street, Suite 960 Denver CO 80202 PASS IT ON;PASSITON;Promoting public awareness of the need to do good, to promote values, to be a good citizen and to perform community services and charitable activities; providing a website featuring news and information promoting the public awareness of ethical and character values, good citizenship and the doing of good deeds for others; promoting the public awareness of ethical and character values and the doing of good deeds for others; charitable services, namely, promoting public awareness of ethical and character values and the need to do good deeds for others;
PASSITON.COM The Foundation for a Better Life 555 17th Street, Suite 960 Denver CO 80202 PASS IT ON;PASSITON;Promoting public awareness of the need to do good, to promote values, to be a good citizen and to perform community services and charitable activities;
PASSITON.COM The Foundation for a Better Life 555 17th Street, Suite 960 Denver CO 80202 PASS IT ON;PASSITON;Providing a selection of on-line electronic greeting cards;
PAZZITON Do, Rosemary 90 New Montgomery Street San Francisco CA 94105 PASS IT ON;Providing a selection of on-line electronic greeting cards;
PAZZITON Do, Amy 35932 Sutter Drive Fremont CA 94538 PASS IT ON;Providing a selection of on-line electronic greeting cards;
 

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

    
Technical Examples
  1. A multiple pass speech recognition method includes a first pass and a second pass. The first pass recognizes an input speech signal to generate a first pass result. The second pass generates a first grammar having a portion set to match a first part of the input speech signal, based upon the context of the first pass result, and generate a second pass result. The method may further include a third pass grammar limiting the second part of the input speech signal to the second pass result. The third pass grammar includes a model corresponding to the first part of the input speech signal and varying within the second pass result. The third pass compares the first part of the input speech signal to the model while limiting the second part of the input speech signal to the second pass result.