GO PASS

Brand Owner (click to sort) Address Description
GOPASS HANDANGO, INC. Suite 600 5615 High Point Drive Irving TX 75038 GO PASS;Electronic commerce payment services, namely, establishing funded accounts used to purchase goods and services on the Internet; pre-paid purchase card services namely, processing electronic payments made through pre-paid cards; electronic payment, namely, electronic processing and transmission of bill payment data; electronic cash, debit, and credit card transactions; financial services, namely providing on-line stored value accounts in an electronic environment; on-line banking, namely, on-line savings and checking account services, and streamlined transaction services, namely, enabling consumers to electronically store and modify account number, pin number, address and payment method information thereby facilitating simplified purchasing transactions;Electronic ordering services in the field of software provided online and via wireless devices such as cellular and wireless telephones, smartphones, handheld computer devices and personal digital assistant devices; promoting the goods and services of others through an incentive and discount program whereby members accumulate points based on total purchases which can be redeemed for free and discounted goods; Computer services, namely, providing software subscription services allowing purchasers to automatically receive software upgrades and updates;
GOPASS GlobalVetLink, L.C. 2604 Northridge Parkway Ames IA 50010 GO PASS;Providing an interactive website for state animal health and regulatory officials, animal health care professionals, and animal diagnostic laboratories, namely, providing information on animal health certificates;
 

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.