The kernel density estimation (KDE)-based image segmentation algorithm has excellent segmentation performance. However, this algorithm is computational ...
In this paper, we present a stochastic computing implementation of the. KDE-based image segmentation algorithm. Our experimental results show that, under the ...
A low power fault-tolerance architecture for the kernel density estimation based image segmentation algorithm. P Li, DJ Lilja. Application-Specific Systems ...
May 8, 2024 · A low power fault-tolerance architecture for the kernel density estimation based image segmentation algorithm. Conference Paper. Oct 2011. Peng ...
Sep 11, 2011 · This paper introduces a low-overhead hardware profiling architecture, called LEAP, that attains real-time cycle and energy profiles of an FPGA- ...
An architecture with low-power and fault-tolerance has been presented in SC for the kernel density estimation-based image segmentation algorithm.12 This work ...
Peng Li and David J. Lilja, “A Low Power Fault-Tolerance Architecture for Kernel Density Estimation-Based Image Segmentation Algorithm,” IEEE International ...
A Low-Cost and Fault-Tolerant Stochastic Architecture for the ...
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In this work, two stochastic computing architectures are proposed for implementing the Bernsen algorithm by using, respectively, uncorrelated and correlated ...
Li, P., Lilja, D.J.: A low power fault-tolerance architecture for the kernel density estimation based image segmentation algorithm. In: IEEE International ...
Li and Lilja [7] present a new low-power fault-tolerant architecture based on SC for the kernel density estimation image segmentation algorithm. They extended ...