[Gzz-commits] manuscripts/Paper paper.tex

[Tuomas J. Lukka]

CVSROOT:        /cvsroot/gzz
Module name:    manuscripts
Changes by:     Tuomas J. Lukka <address@hidden>        03/03/29 03:22:54

Modified files:
        Paper          : paper.tex 

Log message:
        Reorg - first explain WHAT we will measure and why, instead of 
'apologizing' afterwards

CVSWeb URLs:
http://savannah.gnu.org/cgi-bin/viewcvs/gzz/manuscripts/Paper/paper.tex.diff?tr1=1.58&tr2=1.59&r1=text&r2=text

Patches:
Index: manuscripts/Paper/paper.tex
diff -u manuscripts/Paper/paper.tex:1.58 manuscripts/Paper/paper.tex:1.59
--- manuscripts/Paper/paper.tex:1.58    Sat Mar 29 03:17:57 2003
+++ manuscripts/Paper/paper.tex Sat Mar 29 03:22:54 2003
@@ -1241,7 +1241,43 @@
 - images not good, can't generate infinite supply easily, too much
   semantics
 
-- thus, use solid colors even though know not really good.
+- thus, use solid colors even though know solid colors not really recognizable.
+
+
+Surely it would be hard to remember, e.g., 100 textures.
+However, the user does not have to remember all the textures;
+it suffices to learn the textures of the most often used documents
+and distinguish them from the rest:
+see Fig.~\ref{fig-zipf}.
+Many studies of web cache statistics 
+have shown that for instance file popularity approximately follows Zipf's law
+(see, e.g. [xxxref]) so that a small number of documents accounts 
+for most of the use.
+
+\begin{figure}
+\centering
+%\fbox{\vbox{\vskip 3in}}
+\ifpics
+\includegraphics[width=6cm]{zipfarea.1}
+\fi
+\caption{
+\label{fig-zipf}
+Zipf's law concretized: why remembering 15 textures helps.
+In real life, accesses to documents often follow Zipf's law, meaning that
+some documents get accessed far more often than most.
+Each square represents a document, and the area of each square is scaled
+to its rate of accesses.
+The diagram shows 2000 documents weighted with Zipf's law with exponent 1.1.
+The 15 most important documents account XXX\% of the accesses.
+}
+\end{figure}
+
+Thus, the experiment measured the recognition of only 15 textures,
+and 
+
+Furthermore, because the texture appearance has no correlation
+with the document content, 
+the textures of any two important files are similar only by chance.
 
 We have conducted an experiment in a similar setting comparing
 the recognition performance of our textures with solid color backgrounds.
@@ -1282,7 +1318,12 @@
 \end{center}
 \caption{
 \label{tableresults}
-(percentage of trials and reaction time in seconds): 
+Results of a recognition experiment with 15 previously seen
+textures light colors to be picked out from 15 not previously seen
+instances.
+The numbers give the 
+percentage of trials and the average reaction time in seconds for
+the five subjects.
 }
 \end{table}
 
@@ -1296,38 +1337,6 @@
 recognition (without additional cues).
 The observed difference in recognition performance is statistically 
 significant [F(1,4) = 19.0, p = .012].
-
-Of course, the experiment measured the recognition of only 15 textures,
-and surely it would be harder to remember, e.g., 100 textures.
-However, the user does not have to remember all the textures;
-it suffices to learn the textures of the most often used documents,
-see Fig.~\ref{fig-zipf}.
-Many studies of web cache statistics 
-have shown that file popularity approximately follows Zipf's law
-(see, e.g. [xxxref]) so that a small number of documents accounts 
-for most of the use.
-
-\begin{figure}
-\centering
-%\fbox{\vbox{\vskip 3in}}
-\ifpics
-\includegraphics[width=6cm]{zipfarea.1}
-\fi
-\caption{
-\label{fig-zipf}
-Zipf's law concretized: why remembering 15 textures helps.
-In real life, accesses to documents often follow Zipf's law, meaning that
-some documents get accessed far more often than most.
-Each square represents a document, and the area of each square is scaled
-to its rate of accesses.
-The diagram shows 2000 documents weighted with Zipf's law with exponent 1.1.
-The 15 most important documents account XXX\% of the accesses.
-}
-\end{figure}
-
-Furthermore, because the texture appearance has no correlation
-with the document content, 
-the textures of any two important files are similar only by chance.
 
 %Our experience shows that at least the most recurring textures 
 %are not only recognized but can