Journal of VLSI Signal Processing Systems
Low power architecture for high speed packet classification
Proceedings of the 4th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
Fpga-based face detection system using Haar classifiers
Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays
FPGA-Based Anomalous Trajectory Detection Using SOFM
ARC '09 Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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This paper proposes a scheme to implement classifiers with high generalization properties on FPGAs. The classifiers consist of only combinational logic circuits, which are based on a simple concept, and the VHDL source files which describe the classifiers are generated by a C-language function, tuning VHDL notations for adders in them to reduce both its hardware size and computation time. Simulation results based on a character recognition are shown in terms of generalization property, hardware size, computation time, and electricity consumption.