[Gzz-commits] manuscripts/Paper paper.tex

[Janne V. Kujala]

CVSROOT:        /cvsroot/gzz
Module name:    manuscripts
Changes by:     Janne V. Kujala <address@hidden>        03/03/14 08:16:31

Modified files:
        Paper          : paper.tex 

Log message:
        evaluation notes

CVSWeb URLs:
http://savannah.gnu.org/cgi-bin/viewcvs/gzz/manuscripts/Paper/paper.tex.diff?tr1=1.23&tr2=1.24&r1=text&r2=text

Patches:
Index: manuscripts/Paper/paper.tex
diff -u manuscripts/Paper/paper.tex:1.23 manuscripts/Paper/paper.tex:1.24
--- manuscripts/Paper/paper.tex:1.23    Fri Mar 14 06:57:03 2003
+++ manuscripts/Paper/paper.tex Fri Mar 14 08:16:21 2003
@@ -1079,6 +1079,8 @@
 
 - we need also memorization; therefore, careful evaluation is needed 
 
+- our textures are on a higher level, more like complete pictures
+
 - experiments on black-and-white (faces,) ink blots, and snow crystals
   \cite{goldstein71visualrecognition} show that
   complex pictures can be remembered and recognized and that recognition
@@ -1086,12 +1088,22 @@
 
 - pilot test: 15 textures or pure colors shown sequentially, 5 seconds each.
   recognition tested by showing the 15 seen textures mixed with 15 new
-  textures in a random order. subjects answers old/new. 
+  textures in a random order, subject answers old/new. 
 
 - results: for textures, 80 percent correct (12/15 correctly recognized
   as seen and 12/15 correctly identified as not seen).
   for pure colors, 53 percent correct (13/15 correctly recognized
   as seen and 3/15 correctly identified as not seen).
+
+- the experiment only measured the ability to dicriminate previosly seen
+  textures from unseen textures. However, our experience shows that
+  at least the most recurring textures can easily be associated to the 
+  document content.
+
+- as per Zipf's law [XXXref], it suffices to learn the textures 
+  of the most recurring documents.
+
+XXX: refs?
 
 \section{Software availability}