This paper describes a method to minimize the immense training time of the conventional Adaboost learning algorithm in object detection by reducing the sampling area. A new algorit...
Florian Baumann, Katharina Ernst, Arne Ehlers, Bod...
State machine based simulation of Boolean functions is substantially faster if the function being simulated is symmetric. Unfortunately function symmetries are comparatively rare....
This paper proposes a learning scheme based still image super-resolution reconstruction algorithm. Superresolution reconstruction is proposed as a binary classification problem an...
Abstract-- In analog circuits, blocks need to be placed symmetrically to satisfy the devices matching. Different from the existing constraint-driven approaches, the proposed topolo...
In many algorithms, particularly those in the DSP domain, certain forms of symmetry can be observed. To efficiently implement such algorithms, it is often possible to exploit thes...
C. A. J. van Eijk, E. T. A. F. Jacobs, Bart Mesman...