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Table 2 Comparison of different annotation methods in terms of macro F1

From: Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval

Stage range

Number of terms

SVMSpatial + Sparse

SVMSparse

SVMSpatial

SVMGlobal

4-6

10

.5224 ± .0407

.5094 ± .0393

.4926 ± .0414

.4767 ± .0386

 

20

.4454 ± .0461

.4200 ± .0462

.4141 ± .0459

.3794 ± .0412

 

30

.3459 ± .0593

.3230 ± .0516

.3153 ± .0565

.2942 ± .0479

7-8

10

.5372 ± .0343

.5282 ± .0312

.5131 ± .0329

.5055 ± .0329

 

20

.3653 ± .0517

.3603 ± .0538

.3331 ± .0740

.3364 ± .0676

9-10

10

.5561 ± .0282

.5499 ± .0276

.5353 ± .0289

.5267 ± .0260

 

20

.3836 ± .0464

.3764 ± .0442

.3527 ± .0370

.3429 ± .0342

11-12

10

.6339 ± .0280

.6261 ± .0269

.6109 ± .0271

.6060 ± .0257

 

20

.5226 ± .0379

.4961 ± .0310

.4781 ± .0337

.4508 ± .0290

 

30

.4066 ± .0409

.3761 ± .0310

.3488 ± .0400

.3373 ± .0300

 

40

.3351 ± .0480

.3110 ± .0383

.2686 ± .0456

.2762 ± .0358

 

50

.2758 ± .0480

.2626 ± .0404

.2343 ± .0434

.2293 ± .0370

13-16

10

.6506 ± .0297

.6310 ± .0272

.6273 ± .0261

.5993 ± .0253

 

20

.5240 ± .0280

.4959 ± .0262

.4963 ± .0266

.4580 ± .0245

 

30

.4474 ± .0303

.4115 ± .0262

.4089 ± .0275

.3692 ± .0243

 

40

.3876 ± .0340

.3487 ± .0268

.3408 ± .0319

.3071 ± .0252

 

50

.3330 ± .0381

.2981 ± .0281

.2764 ± .0347

.2607 ± .0263

 

60

.2886 ± .0434

.2598 ± .0317

.2313 ± .0373

.2255 ± .0287