Computer Vision and Pattern Recognition · Computer Science
Divide and Conquer the Embedding Space for Metric Learning
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
2019-06-17
Machine Learning · Computer Science
Learning Functions on Multiple Sets using Multi-Set Transformers
Kira Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh +1
2022-07-01
Robotics · Computer Science
Metric Learning for Generalizing Spatial Relations to New Objects
Oier Mees, Nichola Abdo, Mladen Mazuran, Wolfram Burgard
2017-07-25
Robotics · Computer Science
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning
Philipp Jund, Andreas Eitel, Nichola Abdo, Wolfram Burgard
2019-07-02
Statistics Theory · Mathematics
Approximation and learning by greedy algorithms
Andrew R. Barron, Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore
2009-09-29
Machine Learning · Computer Science
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)
Juan Luis Suárez-Díaz, Salvador García, Francisco Herrera
2020-08-20
Numerical Analysis · Mathematics
Polynomial Approximation of Symmetric Functions
Markus Bachmayr, Geneviève Dusson, Christoph Ortner, Jack Thomas
2023-02-06
General Topology · Mathematics
Coincidence point results involving a generalized class of simulation functions
D. K. Patel, P. R. Patle, L. Budhia, D. Gopal
2017-08-21