DREAM PASS

Brand Owner (click to sort) Address Description
DREAMPASS Pinnacle Motivation, Inc. 710 E. Ogden Ave., Suite 200 Naperville IL 60563 DREAM PASS;promoting the sale of credit card accounts and telecommunications services through the administration of a travel incentive awards program;
DREAMPASS Zhang, Jidong Room 701, No.40 Dashatou Second Road,Yuexiu District Guangzhou, Guangdong 510100 China DREAM PASS;Shrouds; Ballistic resistant fabrics for use in the production of bulletproof and blast proof clothing, shoes and bullet proof and blast proof garments and shields; Bed covers; Canvas for tapestry or embroidery; Cashmere blankets; Children's bed sheets, pillow cases, and blankets; Children's blankets; Fabric window coverings and treatments, namely, curtains, draperies, sheers, swags and valances; Mixed fiber fabrics; Pet overnight sets composed primarily of a pet blanket and also including pet pajamas sold as a unit in a bag; Printers' blankets of textile; Silk fabrics for printing patterns; Sleeping bags; Table cloth of textile; Table linen of textile; Tapestries of textile; Textile backdrops for use in photography comprised in whole or substantial part of nylon textiles, cotton featuring scenes of cityscapes, background scenery; Textile printers' blankets; Wall hangings of textile; Woven fabrics of nylon, cotton, basalt for textile use; Woven felt;
 

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.