Appeal No. 1998-2718
Application No. 08/373,937
13, lines 13 and 61) that each of the neural networks receives
one feature vector, we agree with appellant’s argument. Once
that single feature vector is received at each of the neural
networks, multiple input units within each of the neural
networks are used to process the feature vector (answer, page
9). We likewise agree with appellant’s argument (reply brief,
page 4) that “it is clear that neither Figure 8 nor any other
section of Fukumizu discloses a neural network that receives
multiple feature vectors in parallel.” For this reason, the
35 U.S.C. § 102(b) rejection of claims 14, 18, 19, 22 and 25
is reversed.
For the same reason, the 35 U.S.C. § 103(a) rejection of
claims 23 and 24 based upon the teachings of Fukumizu is
reversed.
Turning next to the 35 U.S.C. § 103(a) rejection of
claims 15 through 17 and 26 through 29, appellant argues
(brief, page 13) that :
Matsuba at most suggests providing more of
Fukumizu’s preprocessing blocks 13 to extract
additional feature vectors, and then providing more
of Fukumizu’s network groups NET0-NET9 to each
process one and only one of these additional feature
5
Page: Previous 1 2 3 4 5 6 7 8 Next
Last modified: November 3, 2007