Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
Maan Qraitem, Kate Saenko, et al.
CVPR 2023
In this paper, we describe application-specific extensions for fuzzy processing to a general purpose processor. The application-specific instruction set extensions were defined and evaluated using hardware/software codesign techniques. Based on this approach, we have extended the MIPS instruction set architecture with only a few new instructions to significantly speed up fuzzy computation with no increase of the processor cycle time and with only minor increase in chip area. The processor is implemented using a reconfigurable processor core which was designed as a starting point for application-specific processor designs to be used in embedded applications. Performance is presented for three representative applications of varying complexity. © 2000 IEEE.
Maan Qraitem, Kate Saenko, et al.
CVPR 2023
Berrin Yanikoglu, Peter A. Sandon
Pattern Recognition
Gaku Yamamoto, Hideki Tai, et al.
AAMAS 2008
Bingzhe Wu, Xiaolu Zhang, et al.
AAAI 2019