output
20032025
most citedCooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control

249 citations

Showing 2019Show all

12 papers · 1 filter

cs.IT20193 cited

Greedy Sparse Signal Recovery Algorithm Based on Bit-wise MAP detection

J. Chae, S. -N. Hong

We propose a novel greedy algorithm for the support recovery of a sparse signal from a small number of noisy measurements. In the proposed method, a new support index is identified…

math.CO2019

On induced saturation for paths

Eun-Kyung Cho, Ilkyoo Choi, Boram Park

For a graph , a graph is -induced-saturated if does not contain an induced copy of , but either removing an edge from or adding a non-edge to creates an in…

cs.OS2019

Slicing the IO execution with ReLayTracer

Ganguk Lee, Yeaseul Park, Jeongseob Ahn +1

Analyzing IO performance anomalies is a crucial task in various computing environments, ranging from large-scale cloud applications to desktop applications. However, the IO stack o…

cs.CV20194 cited

Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network

Junho Jo, Hyung Il Koo, Jae Woong Soh +1

We present a new handwritten text segmentation method by training a convolutional neural network (CNN) in an end-to-end manner. Many conventional methods addressed this problem by…

cond-mat.mes-hall2019187 cited

Antiferromagnetic ordering in van der Waals two-dimensional magnetic material MnPS3 probed by Raman spectroscopy

Kangwon Kim, Soo Yeon Lim, Jungcheol Kim +8

Magnetic ordering in the two-dimensional limit has been one of the most important issues in condensed matter physics for the past several decades. The recent discovery of new magne…

cs.CV20191 cited

Pose estimator and tracker using temporal flow maps for limbs

Jihye Hwang, Jieun Lee, Sungheon Park +1

For human pose estimation in videos, it is significant how to use temporal information between frames. In this paper, we propose temporal flow maps for limbs (TML) and a multi-stri…