Updated image and source links

documentation/paper/Makefile

@@ -1,14 +1,13 @@
-src = ../paper/
-srcFiles = $(src)*.md $(src)**/*.md $(src)**/**/*.md
+srcFiles = src/*.md src/**/*.md src/**/**/*.md
 
-images = ../benchmark.pdf ../SimpleGanGenerator.pdf
+images = images/benchmark.pdf images/SimpleGanGenerator.pdf
 
 nothing:
 
 all: paper.pdf
 
 paper.md: $(srcFiles)
-	python ../../tools/mdImport.py $(src)all.md > $@
+	python ../../tools/mdImport.py src/all.md > $@
 
 
 %.tex: %.md template.tex
@@ -20,10 +19,10 @@ paper.pdf: paper.tex $(images)
 
 
 
-../%.pdf:  ../%.svg
+images/%.pdf:  images/%.svg
 	inkscape $< -o $@ -d 600
 
 
 
-../%.svg:
+images/%.svg:
 	test -e $@

documentation/paper/src/Benchmark.md

@@ -6,7 +6,7 @@
 
 
 ## RxS Fold
-\includegraphics{../benchmark.pdf}
+\includegraphics[height=0.5\textheight]{images/benchmark.pdf}
 
 ## Doing the benchmark
 The benchmark is done by using a 5x5 fold.

documentation/paper/src/Benchmark/Algorithms/SimpleGAN.md

@@ -7,4 +7,4 @@ The generated points are scaled back by multiplying with $\alpha$.
 
 The scaling is needed as the sibmoid function give value between -1 and 1.
 
-\includegraphics{../SimpleGanGenerator.pdf}
+\includegraphics[height=16em]{images/SimpleGanGenerator.pdf}

documentation/paper/src/Benchmark/Scores.md

@@ -11,6 +11,7 @@
   \hfill $p_c = {1 \over 4} \sum_{x \in \{TP, TN\}} (x + FN)(x + FP)$
 
 Where
+
 - TP is the number of correct predicted positive values.
 - TN is the number of correct predicted negative values.
 - FN is the number of negative predicted values that should be positive.

documentation/paper/src/all.md

@@ -8,6 +8,12 @@ abstract: |
 	benchmark about synthetic point generation with GANs
 date: April 2022
 graphics: yes
+geometry:
+  - left=2cm
+  - right=2cm
+  - top=2cm
+  - bottom=2cm
+papersize: a4
 ...
 
 [[convGAN algotithm]]