DISTRIBUTION STRUCTURE LEARNING LOSS (DSLL) BASED ON DEEP METRIC LEARNING FOR IMAGE RETRIEVAL

The massive number of images demands highly efficient image retrieval tools.Deep distance metric learning (DDML) is proposed to learn image similarity metrics in an end-to-end manner based on the convolution neural network, which has achieved encouraging results.The loss function is crucial in DDML frameworks.However, we found limitations to this m

Самое известное произведение А.Шёнберга по причине сложности избранных музыкально-языковых средств, содержательной глубине и смысловой многозначности ставит перед исполнителями трудные и

Instrumented wheelsets are widely utilized in the railway industry for the purpose Coaster Set of the measurement of the wheel-rail interaction force.In the conventional instrumented wheelset, the measurement accuracy of the lateral force is reduced due to the bending moment induced by the wheel load.The authors have proposed a new configuration of