Zobrazeno 1 - 10
of 25 562
pro vyhledávání: '"map estimation"'
This paper studies the convergence rates of optimal transport (OT) map estimators, a topic of growing interest in statistics, machine learning, and various scientific fields. Despite recent advancements, existing results rely on regularity assumption
Externí odkaz:
http://arxiv.org/abs/2412.08064
Autor:
Viet, Pham Q., Romero, Daniel
Radio map estimation (RME) involves spatial interpolation of radio measurements to predict metrics such as the received signal strength at locations where no measurements were collected. The most popular estimators nowadays project the measurement lo
Externí odkaz:
http://arxiv.org/abs/2411.01211
Recent widespread applications for unmanned aerial vehicles (UAVs) -- from infrastructure inspection to urban logistics -- have prompted an urgent need for high-accuracy three-dimensional (3D) radio maps. However, existing methods designed for two-di
Externí odkaz:
http://arxiv.org/abs/2408.04205
Autor:
Gil, Hanbit1 (AUTHOR) hb3568@koreatech.ac.kr, Ryu, Sehyun1 (AUTHOR), Woo, Sungmin1 (AUTHOR) innosm@koreatech.ac.kr
Publikováno v:
Sensors (14248220). Dec2024, Vol. 24 Issue 23, p7761. 20p.
Inverse problems have many applications in science and engineering. In Computer vision, several image restoration tasks such as inpainting, deblurring, and super-resolution can be formally modeled as inverse problems. Recently, methods have been deve
Externí odkaz:
http://arxiv.org/abs/2407.20784
Autor:
Shibli, Ali, Zanouda, Tahar
Radio Environment Maps (REMs) are crucial for numerous applications in Telecom. The construction of accurate Radio Environment Maps (REMs) has become an important and challenging topic in recent decades. In this paper, we present a method to estimate
Externí odkaz:
http://arxiv.org/abs/2407.07713
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In the 6G era, real-time radio resource monitoring and management are urged to support diverse wireless-empowered applications. This calls for fast and accurate estimation on the distribution of the radio resources, which is usually represented by th
Externí odkaz:
http://arxiv.org/abs/2402.02729
Contemporary no-reference image quality assessment (NR-IQA) models can effectively quantify the perceived image quality, with high correlations between model predictions and human perceptual scores on fixed test sets. However, little progress has bee
Externí odkaz:
http://arxiv.org/abs/2403.06406
Autonomous off-road navigation requires an accurate semantic understanding of the environment, often converted into a bird's-eye view (BEV) representation for various downstream tasks. While learning-based methods have shown success in generating loc
Externí odkaz:
http://arxiv.org/abs/2403.02642