Patent ID: 6601050
Filing Date: 2003-07-29
Classification: G06K,G06T,G16B,Y10S

Abstract:
A method for classifying types of data in a data set, comprising the steps of:training a computer to identify a plurality of types of original data; inputting new data into the computer; creating a replica of the new data; confirming accuracy of replicated data; classifying the new data in response to confirmation of accurate replication; wherein said training step comprises the steps of: inputting several previously identified data sets into a computer; creating within the computer a plurality of basis vector sets, each basis vector set comprising a plurality of basis vectors, each basis vector set being in one to one correspondence with the identified data sets; creating comparison data sets using the basis vector sets; comparing the previously identified data sets with the comparison data sets; computing an error from said comparison; determining acceptability of the error; and repeating said creating of the basis vector set in response to the error being unacceptable.