Index: /birds/createmilbirds_19cl.m
===================================================================
--- /birds/createmilbirds_19cl.m	(revision 71)
+++ /birds/createmilbirds_19cl.m	(revision 72)
@@ -46,4 +46,6 @@
 bagid = [];
 for i=1:B
+    i
+   
 	%load the signal;
 	[signal,fs] = wavread(fullfile(dpath,'src_wavs',names{i}(2:end)));
@@ -59,17 +61,65 @@
 
 	% run over blobs:
-	im = abs(S);
-	thisx = zeros(Nseg,7);
+	absim = abs(S);
+	realim = real(S);
+    imagim = imag(S);
+    
+    maskfeats = nan(Nseg,3);
+    absfeats = nan(Nseg, 7);
+    realfeats = nan(Nseg,7);
+    imagfeats = nan(Nseg,7);
+        
 	for j=1:Nseg
+   
+        
 		ix = (bloblab==j);
+        
       % compute/add some blob-properties:
-		thisx(j,:) = [props(j).Area, props(j).Centroid, props(j).BoundingBox];
+	  %	thisx(j,:) = [props(j).Area, props(j).Centroid, props(j).BoundingBox];
+      
+        pixtotal = sum(sum(ix));
+        pixheight = max(sum(ix,1));
+        pixwidth = max(sum(ix,2));
+
+        maskfeats(j,:) = [pixtotal pixheight pixwidth];
+
+
+        seg = absim(ix);
+        absfeats(j,1) = mean(seg); 
+        absfeats(j,2) = std(seg); 
+
+        absfeats(j,3) = quantile(seg(:),0);
+        absfeats(j,4) = quantile(seg(:),0.25);
+        absfeats(j,5) = quantile(seg(:),0.5);
+        absfeats(j,6) = quantile(seg(:),0.75);
+        absfeats(j,7) = quantile(seg(:),1);
+        
+           seg = realim(ix);
+        realfeats(j,1) = mean(seg); 
+        realfeats(j,2) = std(seg); 
+
+        realfeats(j,3) = quantile(seg(:),0);
+        realfeats(j,4) = quantile(seg(:),0.25);
+        realfeats(j,5) = quantile(seg(:),0.5);
+        realfeats(j,6) = quantile(seg(:),0.75);
+        realfeats(j,7) = quantile(seg(:),1);
+        
+           seg = imagim(ix);
+        imagfeats(j,1) = mean(seg); 
+        imagfeats(j,2) = std(seg); 
+
+        imagfeats(j,3) = quantile(seg(:),0);
+        imagfeats(j,4) = quantile(seg(:),0.25);
+        imagfeats(j,5) = quantile(seg(:),0.5);
+        imagfeats(j,6) = quantile(seg(:),0.75);
+        imagfeats(j,7) = quantile(seg(:),1);
+          
+        
 		% don't forget:
-		%bagid(end+1) = i;
-        
-        bagid = [bagid i];
+		bagid(end+1) = i;
+
         
 	end
-	x{i} = thisx;
+	x{i} = [maskfeats absfeats realfeats imagfeats];
 
 	%Get the labels right for the training bags:
Index: /birds/doprediction.m
===================================================================
--- /birds/doprediction.m	(revision 71)
+++ /birds/doprediction.m	(revision 72)
@@ -10,8 +10,9 @@
 load('birds20130709.mat');
 
-ixtrain = find(J == 0);
-ixtest = find(J == 1);
+%ixtrain = find(J == 0);
+%ixtest = find(J == 1);
+%z=a(ixtest,:);
 
-z=a(ixtest,:);
+
 [bags, labs, bagid] = getbags(z);
 
@@ -22,21 +23,32 @@
 
 
-u = milvector([],'e')*scalem([],'variance')*loglc2*classc;
+predictions2 = nan(length(bagid), 19);
+
+%u = simple_mil*classc;
+
+u = milvector([],'m')*scalem([],'variance')*libsvc*classc;
+
 
 %For each class, train a classifier
 for i=1:C
-    a = changelablist(a,i+1);  %Bird 1 is lablist 2, etc
-    x = a(ixtrain, :);
-    z = a(ixtest,:);
+    xtr = changelablist(x,i+1);  %Bird 1 is lablist 2, etc
+    thisll = getlablistnames(xtr);
+    xtr = setname(xtr,strtrim(thisll(curlablist(xtr),:)));
+    xtr=makemillabeled(xtr);
     
-    w = x*u;
-    out = z*w;
+    xte = changelablist(z,i+1);  %Bird 1 is lablist 2, etc
+    thisll = getlablistnames(xte);
+    xte = setname(xte,strtrim(thisll(curlablist(xte),:)));
+    xte=makemillabeled(xte);
+
+
+    %x = a(ixtrain, :);
+    %z = a(ixtest,:);
     
-    try
-        testc(out,'auc')
-    catch
-    end
-            
-    predictions(:,i) = out(:,1);
+    w = xtr*u;
+    out = xte*w;
+    
+ 
+    predictions(:,i) = out(:,2);  %Positive class is column 2
 end
 
@@ -50,5 +62,5 @@
 
 fid = fopen('pred20130709.csv', 'w');
-fprintf(fid, '%s,%s,%s\n', 'rec_id', 'species', 'probability');
+fprintf(fid, '%s,%s\r\n', 'Id', 'probability');
 
 for i=1:length(bagid)
@@ -56,7 +68,7 @@
     for j=1:C
         if (i==length(bagid) && j==C)
-            fprintf(fid, '%d,%d,%f', bagid(i), j-1, predictions(i,j));
+            fprintf(fid, '%d,%f', bagid(i)*100+(j-1), predictions(i,j));
         else
-            fprintf(fid, '%d,%d,%f\n', bagid(i), j-1, predictions(i,j));
+            fprintf(fid, '%d,%f\r\n', bagid(i)*100+(j-1), predictions(i,j));
         end
     end
Index: /birds/pred20130709.csv
===================================================================
--- /birds/pred20130709.csv	(revision 71)
+++ /birds/pred20130709.csv	(revision 72)
@@ -1,6138 +1,6138 @@
-rec_id,species,probability
-1,0,0.731158
-1,1,0.731059
-1,2,0.731081
-1,3,0.731059
-1,4,0.731059
-1,5,0.731059
-1,6,0.731079
-1,7,0.731064
-1,8,0.731160
-1,9,0.731126
-1,10,0.731059
-1,11,0.731059
-1,12,0.731059
-1,13,0.998715
-1,14,0.731059
-1,15,0.731059
-1,16,0.731059
-1,17,0.859803
-1,18,0.731059
-2,0,0.731159
-2,1,0.731059
-2,2,0.731081
-2,3,0.731059
-2,4,0.731059
-2,5,0.731059
-2,6,0.731079
-2,7,0.731064
-2,8,0.731160
-2,9,0.731132
-2,10,0.731059
-2,11,0.731059
-2,12,0.731059
-2,13,0.998801
-2,14,0.731059
-2,15,0.731059
-2,16,0.731059
-2,17,0.852800
-2,18,0.731059
-5,0,0.731176
-5,1,0.731059
-5,2,0.731076
-5,3,0.731059
-5,4,0.731059
-5,5,0.731059
-5,6,0.731074
-5,7,0.731056
-5,8,0.731163
-5,9,0.731116
-5,10,0.731059
-5,11,0.731059
-5,12,0.731059
-5,13,0.855502
-5,14,0.731059
-5,15,0.731059
-5,16,0.731059
-5,17,0.759107
-5,18,0.731059
-7,0,0.731128
-7,1,0.731059
-7,2,0.731081
-7,3,0.731059
-7,4,0.731059
-7,5,0.731059
-7,6,0.731079
-7,7,0.731062
-7,8,0.731160
-7,9,0.731105
-7,10,0.731059
-7,11,0.731059
-7,12,0.731059
-7,13,0.998550
-7,14,0.731059
-7,15,0.731059
-7,16,0.731059
-7,17,0.846363
-7,18,0.731059
-8,0,0.731147
-8,1,0.731059
-8,2,0.731081
-8,3,0.731059
-8,4,0.731059
-8,5,0.731059
-8,6,0.731077
-8,7,0.731063
-8,8,0.731159
-8,9,0.731110
-8,10,0.731059
-8,11,0.731059
-8,12,0.731059
-8,13,0.998281
-8,14,0.731059
-8,15,0.731059
-8,16,0.731059
-8,17,0.857672
-8,18,0.731059
-11,0,0.731153
-11,1,0.731059
-11,2,0.731081
-11,3,0.731059
-11,4,0.731059
-11,5,0.731059
-11,6,0.731072
-11,7,0.731064
-11,8,0.731159
-11,9,0.731107
-11,10,0.731059
-11,11,0.731059
-11,12,0.731059
-11,13,0.998393
-11,14,0.731059
-11,15,0.731059
-11,16,0.731059
-11,17,0.871342
-11,18,0.731059
-13,0,0.731056
-13,1,0.731059
-13,2,0.731081
-13,3,0.731059
-13,4,0.731059
-13,5,0.731059
-13,6,0.731080
-13,7,0.731057
-13,8,0.731159
-13,9,0.731032
-13,10,0.731059
-13,11,0.731059
-13,12,0.731059
-13,13,0.997691
-13,14,0.731059
-13,15,0.731059
-13,16,0.731059
-13,17,0.863780
-13,18,0.731059
-18,0,0.731162
-18,1,0.731059
-18,2,0.731081
-18,3,0.731059
-18,4,0.731059
-18,5,0.731059
-18,6,0.731079
-18,7,0.731065
-18,8,0.731160
-18,9,0.731143
-18,10,0.731059
-18,11,0.731059
-18,12,0.731059
-18,13,0.999093
-18,14,0.731059
-18,15,0.731059
-18,16,0.731059
-18,17,0.833306
-18,18,0.731059
-23,0,0.731163
-23,1,0.731059
-23,2,0.731081
-23,3,0.731059
-23,4,0.731059
-23,5,0.731059
-23,6,0.731076
-23,7,0.731065
-23,8,0.731159
-23,9,0.731115
-23,10,0.731059
-23,11,0.731059
-23,12,0.731059
-23,13,0.998395
-23,14,0.731059
-23,15,0.731059
-23,16,0.731059
-23,17,0.864096
-23,18,0.731059
-28,0,0.731085
-28,1,0.731059
-28,2,0.731081
-28,3,0.731059
-28,4,0.731059
-28,5,0.731059
-28,6,0.731070
-28,7,0.731060
-28,8,0.731157
-28,9,0.731045
-28,10,0.731059
-28,11,0.731059
-28,12,0.731059
-28,13,0.998405
-28,14,0.731059
-28,15,0.731059
-28,16,0.731059
-28,17,0.868536
-28,18,0.731059
-29,0,0.731128
-29,1,0.731059
-29,2,0.731076
-29,3,0.731059
-29,4,0.731059
-29,5,0.731059
-29,6,0.731077
-29,7,0.731059
-29,8,0.731160
-29,9,0.731072
-29,10,0.731059
-29,11,0.731059
-29,12,0.731059
-29,13,0.996382
-29,14,0.731059
-29,15,0.731059
-29,16,0.731059
-29,17,0.839263
-29,18,0.731059
-30,0,0.731153
-30,1,0.731059
-30,2,0.731081
-30,3,0.731059
-30,4,0.731059
-30,5,0.731059
-30,6,0.731080
-30,7,0.731064
-30,8,0.731160
-30,9,0.731133
-30,10,0.731059
-30,11,0.731059
-30,12,0.731059
-30,13,0.998851
-30,14,0.731059
-30,15,0.731059
-30,16,0.731059
-30,17,0.840317
-30,18,0.731059
-31,0,0.731129
-31,1,0.731059
-31,2,0.731081
-31,3,0.731059
-31,4,0.731059
-31,5,0.731059
-31,6,0.731078
-31,7,0.731061
-31,8,0.731160
-31,9,0.731090
-31,10,0.731059
-31,11,0.731059
-31,12,0.731059
-31,13,0.995172
-31,14,0.731059
-31,15,0.731059
-31,16,0.731059
-31,17,0.851821
-31,18,0.731059
-32,0,0.731098
-32,1,0.731059
-32,2,0.731081
-32,3,0.731059
-32,4,0.731059
-32,5,0.731059
-32,6,0.731078
-32,7,0.731057
-32,8,0.731161
-32,9,0.731055
-32,10,0.731059
-32,11,0.731059
-32,12,0.731059
-32,13,0.957775
-32,14,0.731059
-32,15,0.731059
-32,16,0.731059
-32,17,0.820988
-32,18,0.731059
-33,0,0.731138
-33,1,0.731059
-33,2,0.731081
-33,3,0.731059
-33,4,0.731059
-33,5,0.731059
-33,6,0.731079
-33,7,0.731061
-33,8,0.731160
-33,9,0.731094
-33,10,0.731059
-33,11,0.731059
-33,12,0.731059
-33,13,0.993546
-33,14,0.731059
-33,15,0.731059
-33,16,0.731059
-33,17,0.848158
-33,18,0.731059
-34,0,0.731074
-34,1,0.731059
-34,2,0.731081
-34,3,0.731059
-34,4,0.731059
-34,5,0.731059
-34,6,0.731078
-34,7,0.731056
-34,8,0.731158
-34,9,0.731109
-34,10,0.731059
-34,11,0.731059
-34,12,0.731059
-34,13,0.999464
-34,14,0.731059
-34,15,0.731059
-34,16,0.731059
-34,17,0.745326
-34,18,0.731059
-35,0,0.731168
-35,1,0.731059
-35,2,0.731081
-35,3,0.731059
-35,4,0.731059
-35,5,0.731059
-35,6,0.731078
-35,7,0.731064
-35,8,0.731160
-35,9,0.731123
-35,10,0.731059
-35,11,0.731059
-35,12,0.731059
-35,13,0.997189
-35,14,0.731059
-35,15,0.731059
-35,16,0.731059
-35,17,0.857359
-35,18,0.731059
-38,0,0.731213
-38,1,0.731059
-38,2,0.731080
-38,3,0.731059
-38,4,0.731059
-38,5,0.731059
-38,6,0.731074
-38,7,0.731064
-38,8,0.731161
-38,9,0.731141
-38,10,0.731059
-38,11,0.731059
-38,12,0.731059
-38,13,0.953100
-38,14,0.731059
-38,15,0.731059
-38,16,0.731059
-38,17,0.798396
-38,18,0.731059
-41,0,0.731134
-41,1,0.731059
-41,2,0.731076
-41,3,0.731059
-41,4,0.731059
-41,5,0.731059
-41,6,0.731078
-41,7,0.731061
-41,8,0.731160
-41,9,0.731068
-41,10,0.731059
-41,11,0.731059
-41,12,0.731059
-41,13,0.996762
-41,14,0.731059
-41,15,0.731059
-41,16,0.731059
-41,17,0.859814
-41,18,0.731059
-42,0,0.731040
-42,1,0.731059
-42,2,0.731081
-42,3,0.731059
-42,4,0.731059
-42,5,0.731059
-42,6,0.731075
-42,7,0.731056
-42,8,0.731158
-42,9,0.731040
-42,10,0.731059
-42,11,0.731059
-42,12,0.731059
-42,13,0.998862
-42,14,0.731059
-42,15,0.731059
-42,16,0.731059
-42,17,0.835156
-42,18,0.731059
-43,0,0.731061
-43,1,0.731059
-43,2,0.731081
-43,3,0.731059
-43,4,0.731059
-43,5,0.731059
-43,6,0.731073
-43,7,0.731058
-43,8,0.731158
-43,9,0.731056
-43,10,0.731059
-43,11,0.731059
-43,12,0.731059
-43,13,0.999185
-43,14,0.731059
-43,15,0.731059
-43,16,0.731059
-43,17,0.844489
-43,18,0.731059
-45,0,0.731087
-45,1,0.731059
-45,2,0.731081
-45,3,0.731059
-45,4,0.731059
-45,5,0.731059
-45,6,0.731077
-45,7,0.731059
-45,8,0.731159
-45,9,0.731056
-45,10,0.731059
-45,11,0.731059
-45,12,0.731059
-45,13,0.996609
-45,14,0.731059
-45,15,0.731059
-45,16,0.731059
-45,17,0.859462
-45,18,0.731059
-48,0,0.731157
-48,1,0.731059
-48,2,0.731076
-48,3,0.731059
-48,4,0.731059
-48,5,0.731059
-48,6,0.731077
-48,7,0.731061
-48,8,0.731161
-48,9,0.731077
-48,10,0.731059
-48,11,0.731059
-48,12,0.731059
-48,13,0.986096
-48,14,0.731059
-48,15,0.731059
-48,16,0.731059
-48,17,0.844556
-48,18,0.731059
-49,0,0.731152
-49,1,0.731059
-49,2,0.731081
-49,3,0.731059
-49,4,0.731059
-49,5,0.731059
-49,6,0.731078
-49,7,0.731064
-49,8,0.731160
-49,9,0.731116
-49,10,0.731059
-49,11,0.731059
-49,12,0.731059
-49,13,0.998548
-49,14,0.731059
-49,15,0.731059
-49,16,0.731059
-49,17,0.864442
-49,18,0.731059
-50,0,0.731138
-50,1,0.731059
-50,2,0.731081
-50,3,0.731059
-50,4,0.731059
-50,5,0.731059
-50,6,0.731077
-50,7,0.731060
-50,8,0.731160
-50,9,0.731101
-50,10,0.731059
-50,11,0.731059
-50,12,0.731059
-50,13,0.994340
-50,14,0.731059
-50,15,0.731059
-50,16,0.731059
-50,17,0.835832
-50,18,0.731059
-52,0,0.731137
-52,1,0.731059
-52,2,0.731081
-52,3,0.731059
-52,4,0.731059
-52,5,0.731059
-52,6,0.731072
-52,7,0.731057
-52,8,0.731161
-52,9,0.731159
-52,10,0.731059
-52,11,0.731059
-52,12,0.731059
-52,13,0.982755
-52,14,0.731059
-52,15,0.731059
-52,16,0.731059
-52,17,0.662580
-52,18,0.731059
-53,0,0.731149
-53,1,0.731059
-53,2,0.731081
-53,3,0.731059
-53,4,0.731059
-53,5,0.731059
-53,6,0.731080
-53,7,0.731064
-53,8,0.731160
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Index: /birds/tstbirds.m
===================================================================
--- /birds/tstbirds.m	(revision 71)
+++ /birds/tstbirds.m	(revision 72)
@@ -1,11 +1,11 @@
 
-load('birds_20130709.mat');
+load('birds20130709.mat');
 
 
 w = {
-	%milvector([],'m')*scalem([],'variance')*liknonc*classc;
-	%milvector([],'e')*scalem([],'variance')*liknonc*classc;
 	
-    %scalem([],'variance')*milproxm([],'meanmin')*scalem([],'variance')*liknonc;
+	%milvector([],'e')*scalem([],'variance')*loglc2*classc;
+	
+    scalem([],'variance')*milproxm([],'meanmin')*scalem([],'variance')*loglc2;
     
 	
