Concepedia

Min Soo Kim

MS

5

Publications

248

Citations

5

H-Index

2018

Active since

Affiliations

University of California, Irvine(Current)

Universidad Complutense de Madrid

Dankook University

Min Soo Kim is an author at University of California, Irvine specializing in computer engineering, deep learning, and approximation theory.

Top concepts

EngineeringDeep LearningComputer ScienceMachine LearningApproximation TheoryComputer EngineeringApproximate ComputingData ScienceImage AnalysisComputer Vision

Publications per year

2018–2021

5

Publications

5

Efficient Mitchell’s Approximate Log Multipliers for Convolutional Neural Networks

Min Soo Kim, Alberto A. Del Barrio, Leonardo Tavares Oliveira et al. · IEEE Transactions on Computers · 2018 · 119 citations

PLAM: A Posit Logarithm-Approximate Multiplier

Raúl Murillo, Alberto A. Del Barrio, Guillermo Botella et al. · IEEE Transactions on Emerging Topics in Computing · 2021 · 52 citations · Full text

A Cost-Efficient Iterative Truncated Logarithmic Multiplication for Convolutional Neural Networks

HyunJin Kim, Min Soo Kim, Alberto A. Del Barrio et al. · 2019 · 32 citations

Convolutional Neural Network, Engineering, Machine Learning +12

Low-power implementation of Mitchell's approximate logarithmic multiplication for convolutional neural networks

Min Soo Kim, Alberto A. Del Barrio, R. Hermida et al. · 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC) · 2018 · 30 citations

Convolutional Neural Network, Engineering, Machine Learning +20

Low-power implementation of mitchell's approximate logarithmic multiplication for convolutional neural networks

Min Soo Kim, Alberto A. Del Barrio, R. Hermida et al. · Asia and South Pacific Design Automation Conference · 2018 · 15 citations

Convolutional Neural Network, Engineering, Machine Learning +20

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