Sentence examples for using a feature level from inspiring English sources

By analysing the recognition results, the different bands are fused using a feature level fusion scheme to improve recognition accuracy.

Specifically, the proposed method first uses a feature-level self-representation loss function to sparsely represent each feature by other features, and then employs an ℓ2,p-norm regularization term to yield row-sparsity on the coefficient matrix for conducting feature selection.

These two cancelable templates are fused using the feature level fusion [20,36] of modified minutiae features.

In the scene level, we use a feature-based MRF model to recognize the scene categories.

In the scene-level, we use a feature-based MRF model to recognize the categories.

In the scene-level labeling, we use a feature-based MRF model to recognize categories in a scene.

Both cancelable templates are then merged together using concatenation-based feature level fusion technique [20] to generate a combined template.

The optimal texture analysis window is determined using the entropy metric – a texture feature generated using a Gray Level Co-occurrence Matrix (GLC M.

Level 1 of a factor indicates that the corresponding factor is used as a feature, and level 0 represents the nonexistence of the factor.

These analyses show the advantages of using a multi-level, multi-parametric feature for analysing TFs of importance both in CRC and in other diseases.

In this paper, we propose improving the established paradigm by using a simplified low-level feature set to predict multiple semantic scene attributes that are integrated probabilistically to obtain a final indoor/outdoor scene classification.