1 code implementation • Multimedia Tools and Applications 2023 • Gábor Szűcs, Regő Borsodi, Dávid Papp
The fast improvement of deep learning methods resulted in breakthroughs in image classification, object detection, and object tracking.
Ranked #1 on Attribute on CityFlow
1 code implementation • Journal of Experimental & Theoretical Artificial Intelligence 2021 • Gábor Szűcs, Dávid Papp
At the beginning of the active learning, there is not enough information for supervised machine learning method, thus our selection strategy is based on unsupervised learning (clustering).
1 code implementation • 27 Jun 2019 • Norbert Bátfai, Dávid Papp, Gergő Bogacsovics, Máté Szabó, Viktor Szilárd Simkó, Márió Bersenszki, Gergely Szabó, Lajos Kovács, Ferencz Kovács, Erik Szilveszter Varga
These measurement results can be interpreted similar to the results from SMNIST for Humans.
2 code implementations • 1 Sep 2018 • Norbert Bátfai, Dávid Papp, Renátó Besenczi, Gergő Bogacsovics, Dávid Veres
While the user can control the character well the benchmark program will increase the visual complexity of the display.
Human-Computer Interaction
2 code implementations • 5 Dec 2017 • Dávid Papp, Sercan Yıldız
We propose a homogeneous primal-dual interior-point method to solve sum-of-squares optimization problems by combining non-symmetric conic optimization techniques and polynomial interpolation.
Optimization and Control 90C25, 90C51, 65D05, 90C22
1 code implementation • 1 Dec 2017 • Dávid Papp, Sercan Yıldız
In a recent paper, Skajaa and Ye proposed a homogeneous primal-dual interior-point method for non-symmetric conic optimization.
Optimization and Control 90C25, 90C51, 90C30
2 code implementations • 7 Mar 2012 • Sanjay Mehrotra, Dávid Papp
We revisit the problem of extending quadrature formulas for general weight functions, and provide a generalization of Patterson's method for the constant weight function.
Numerical Analysis Numerical Analysis 65D32 G.1.4