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Table 5 BoW vs Sparse coding for top 10 terms in all stages

From: Image-level and group-level models for Drosophilagene expression pattern annotation

Stages

BoW

Sparse coding

 

Accuracy

AUC

Sensitivity

Specificity

Accuracy

AUC

Sensitivity

Specificity

4-6

76.27

0.7345

0.6891

0.7798

77.35

0.7437

0.7002

0.7872

7-8

78.47

0.7635

0.7006

0.8264

78.42

0.7666

0.7209

0.8123

9-10

74.28

0.7333

0.6977

0.7669

78.98

0.7592

0.7481

0.7702

11-12

80.14

0.7974

0.7946

0.8002

79.84

0.8021

0.8153

0.7889

13-17

81.02

0.7869

0.7412

0.8325

82.04

0.8012

0.7655

0.8359

  1. Spatial sparse coding performs slightly better than spatial BOW (image-level).
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BMC Bioinformatics

ISSN: 1471-2105

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