Skip to main content

Table 1 Performance comparison of algorithms on Caltech 101 using 30 training images per class

From: A feature fusion based localized multiple kernel learning system for real world image classification

Algorithms

Accuracy in %

SVM-KNN [37]

66.20

SPM [1]

64.40

ScSPM [38]

73.20

NBNN [39]

70.40

LLC [40]

73.44

BT-Gist [42]

63.8

Structured LR [43]

73.6

Wang et al. [2]

72.8

Proposed method

81.92