Combination of metric learning

The metric learning method Cross-view Quadratic Discriminant Analysis (XQDA) is employed to learn a discriminant low dimensional subspace to minimize the intra-person distance while maximize the inter-person distance.

19p redemption 20-12-2021 28 0   Download

This paper proposes a hybrid approach combining two emerging convolutional neural networks: Faster R-CNN and YOLOv2 to detect drones in images. Experimental results show that the approach can add up to almost 5% and more than 11% to precision and recall for Faster R-CNN and add up to 3% and more than 6% to these two metrics for YOLOv2.

7p nguaconbaynhay12 13-06-2021 26 1   Download

We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of linear constituency. The product model outperforms both components on their respective evaluation metrics, giving the best published figures for unsupervised dependency parsing and unsupervised constituency parsing. We also demonstrate that the combined model works and is robust cross-linguistically, being able to exploit either attachment or distributional regularities that are salient in the data. ...

8p bunbo_1 17-04-2013 42 1   Download

Machine learning methods have been extensively employed in developing MT evaluation metrics and several studies show that it can help to achieve a better correlation with human assessments. Adopting the regression SVM framework, this paper discusses the linguistic motivated feature formulation strategy. We argue that “blind” combination of available features does not yield a general metrics with high correlation rate with human assessments.

6p hongphan_1 15-04-2013 38 1   Download