Add files via upload

sample_data/Car/seeds_Car.txt

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+17 42 
+17 21 
+17 43 
+11 42 
+17 51 
+4 55 
+4 42 
+11 27 
+1 27 
+37 55 

sample_data/InfoAll

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+synthetic_control	6	300	300	60	0.12	0.017	6	0.007
+Gun_Point	2	50	150	150	0.087	0.087	0	0.093
+CBF	3	30	900	128	0.148	0.004	11	0.003
+FaceAll	14	560	1690	131	0.286	0.192	3	0.192
+OSULeaf	6	200	242	427	0.479	0.388	7	0.409
+SwedishLeaf	15	500	625	128	0.211	0.154	2	0.208
+50words	50	450	455	270	0.369	0.242	6	0.31
+Trace	4	100	100	275	0.24	0.01	3	0
+Two_Patterns	4	1000	4000	128	0.09	0.002	4	0
+wafer	2	1000	6174	152	0.005	0.005	1	0.02
+FaceFour	4	24	88	350	0.216	0.114	2	0.17
+Lighting2	2	60	61	637	0.246	0.131	6	0.131
+Lighting7	7	70	73	319	0.425	0.288	5	0.274
+ECG200	2	100	100	96	0.12	0.12	0	0.23
+Adiac	37	390	391	176	0.389	0.391	3	0.396
+yoga	2	300	3000	426	0.17	0.155	2	0.164
+FISH	7	175	175	463	0.217	0.154	4	0.177
+Plane	7	105	105	144	0.038	0	6	0
+Car	4	60	60	577	0.267	0.233	1	0.267
+Beef	5	30	30	470	0.333	0.333	0	0.367
+Coffee	2	28	28	286	0	0	0	0
+OliveOil	4	30	30	570	0.133	0.133	0	0.167
+CinC_ECG_torso	4	40	1380	1639	0.103	0.07	1	0.349
+ChlorineConcentration	3	467	3840	166	0.35	0.35	0	0.352
+DiatomSizeReduction	4	16	306	345	0.065	0.065	0	0.033
+ECGFiveDays	2	23	861	136	0.203	0.203	0	0.232
+FacesUCR	14	200	2050	131	0.231	0.088	12	0.095
+Haptics	5	155	308	1092	0.63	0.588	2	0.623
+InlineSkate	7	100	550	1882	0.658	0.613	14	0.616
+ItalyPowerDemand	2	67	1029	24	0.045	0.045	0	0.05
+MALLAT	8	55	2345	1024	0.086	0.086	0	0.066
+MedicalImages	10	381	760	99	0.316	0.253	20	0.263
+MoteStrain	2	20	1252	84	0.121	0.134	1	0.165
+SonyAIBORobotSurfaceII	2	27	953	65	0.141	0.141	0	0.169
+SonyAIBORobotSurface	2	20	601	70	0.305	0.305	0	0.275
+StarLightCurves	3	1000	8236	1024	0.151	0.095	16	0.093
+Symbols	6	25	995	398	0.1	0.062	8	0.05
+TwoLeadECG	2	23	1139	82	0.253	0.132	5	0.096
+Cricket_X	12	390	390	300	0.423	0.228	10	0.246
+Cricket_Y	12	390	390	300	0.433	0.238	17	0.256
+Cricket_Z	12	390	390	300	0.413	0.254	5	0.246
+uWaveGestureLibrary_X	8	896	3582	315	0.261	0.227	4	0.273
+uWaveGestureLibrary_Y	8	896	3582	315	0.338	0.301	4	0.366
+uWaveGestureLibrary_Z	8	896	3582	315	0.35	0.322	6	0.342
+NonInvasiveFatalECG_Thorax1	42	1800	1965	750	0.171	0.185	1	0.209
+NonInvasiveFatalECG_Thorax2	42	1800	1965	750	0.12	0.129	1	0.135
+InsectWingbeatSound	11	220	1980	256	0.438	0.422	2	0.645
+ECG5000	5	500	4500	140	0.075	0.075	1	0.076
+ArrowHead	3	36	175	251	0.2	0.2	0	0.297
+BeetleFly	2	20	20	512	0.25	0.3	7	0.3
+BirdChicken	2	20	20	512	0.45	0.3	6	0.25
+Ham	2	109	105	431	0.4	0.4	0	0.533
+Herring	2	64	64	512	0.484	0.469	5	0.469
+PhalangesOutlinesCorrect	2	1800	858	80	0.239	0.239	0	0.272
+ProximalPhalanxOutlineAgeGroup	3	400	205	80	0.215	0.215	0	0.195
+ProximalPhalanxOutlineCorrect	2	600	291	80	0.192	0.21	1	0.216
+ProximalPhalanxTW	6	205	400	80	0.292	0.263	6	0.263
+ToeSegmentation1	2	40	228	277	0.32	0.25	8	0.228
+ToeSegmentation2	2	36	130	343	0.192	0.092	5	0.162
+DistalPhalanxOutlineAgeGroup	3	139	400	80	0.218	0.228	1	0.208
+DistalPhalanxOutlineCorrect	2	276	600	80	0.248	0.232	2	0.232
+DistalPhalanxTW	6	139	400	80	0.273	0.272	0	0.29
+Earthquakes	2	139	322	512	0.326	0.258	22	0.258
+MiddlePhalanxOutlineAgeGroup	3	154	400	80	0.26	0.253	5	0.25
+MiddlePhalanxOutlineCorrect	2	291	600	80	0.247	0.318	1	0.352
+MiddlePhalanxTW	6	154	399	80	0.439	0.419	2	0.416
+ShapeletSim	2	20	180	500	0.461	0.3	3	0.35
+Wine	2	57	54	234	0.389	0.389	0	0.426
+WordsSynonyms	25	267	638	270	0.382	0.252	8	0.351
+Computers	2	250	250	720	0.424	0.38	13	0.3
+ElectricDevices	7	8926	7711	96	0.45	0.376	14	0.399
+FordA	2	1320	3601	500	0.341	0.341	0	0.438
+FordB	2	810	3636	500	0.442	0.414	1	0.406
+HandOutlines	2	370	1000	2709	0.199	0.197	1	0.202
+LargeKitchenAppliances	3	375	375	720	0.507	0.205	94	0.205
+Meat	3	60	60	448	0.067	0.067	0	0.067
+Phoneme	39	214	1896	1024	0.891	0.773	14	0.772
+RefrigerationDevices	3	375	375	720	0.605	0.56	8	0.536
+ScreenType	3	375	375	720	0.64	0.589	17	0.603
+ShapesAll	60	600	600	512	0.248	0.198	4	0.232
+SmallKitchenAppliances	3	375	375	720	0.659	0.328	15	0.357
+Strawberry	2	370	613	235	0.062	0.062	0	0.06
+UWaveGestureLibraryAll	8	896	3582	945	0.052	0.034	4	0.108
+Worms	5	77	181	900	0.635	0.586	3	0.536
+WormsTwoClass	2	77	181	900	0.414	0.414	9	0.337

sample_data/MALLAT/seeds_MALLAT.txt

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+35 
+37 
+28 
+41 
+53 
+25 

sample_data/generateSeeds.m

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+%Generate initial positive labeled examples
+function seeds = generateSeeds(dataset, numSeeds, path)
+%dataset: e.g. 'MALLAT'
+%numSeeds: number of seeds to generate, default 10
+%path: dataset path
+
+if ~exist('numSeeds', 'var')
+    numSeeds = 10;
+end
+
+if(~exist('path', 'var'));
+    path = dataset;
+end
+
+
+[~, labels] = importTimeSeries(dataset, 'TRAIN', path);
+pInds = (find(labels == 1))';
+numP = length(pInds);
+
+numLabeled = max(round(numP * 0.1), 1);
+seeds = zeros(numSeeds, numLabeled);
+for i = 1 : numSeeds
+    seed = pInds(sort(random('unid', numP, 1, numLabeled)));
+	while(ismember(seed, seeds, 'rows') || length(unique(seed)) < numLabeled)
+		seed = pInds(sort(random('unid', numP, 1, numLabeled)));
+	end
+	seeds(i, :) = seed;
+end
+
+fName = fullfile(path, ['seeds_', dataset, '.txt']);
+fid = fopen(fName, 'w');
+for i = 1 : numSeeds
+    for j = 1 : numLabeled
+        fprintf(fid, '%d ', seeds(i, j));
+    end
+    fprintf(fid, '\n');
+end
+fclose(fid);

sample_data/importTimeSeries.m

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+function [tss, labels] = importTimeSeries(dataset, sfx, path)
+%dataset: e.g. 'MALLAT'
+%sfx: 'TRAIN' or 'TEST'
+%path: the dataset path
+
+if(~exist('path', 'var'));
+    path = dataset;
+end
+
+fileName = fullfile(path, [dataset, '_', sfx]);
+tss = importdata(fileName);
+labels = tss(:, 1);
+tss = tss(:, 2 : end);