Results 21 to 30 of about 1,946,431 (327)

Delving Deep Into Label Smoothing [PDF]

IEEE Transactions on Image Processing, 2020
Label smoothing is an effective regularization tool for deep neural networks (DNNs), which generates soft labels by applying a weighted average between the uniform distribution and the hard label.
Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng   +6 more
semanticscholar   +1 more source

Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View [PDF]

AAAI Conference on Artificial Intelligence, 2019
Graph Neural Networks (GNNs) have achieved promising performance on a wide range of graph-based tasks. Despite their success, one severe limitation of GNNs is the over-smoothing issue (indistinguishable representations of nodes in different classes).
Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun   +5 more
semanticscholar   +1 more source

Experimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments

IEEE Access, 2021
Nowadays, the Direction of Arrival (DoA) estimation problem attracts much attention because of emerging use cases for wireless networks. DoA is beneficial for Reconfigurable Intelligent Surfaces, indoor localization, and various navigation and sensing ...
Vladislav Molodtsov, Aleksey Kureev, Evgeny Khorov   +2 more
doaj   +1 more source

Revisiting Knowledge Distillation via Label Smoothing Regularization

Computer Vision and Pattern Recognition, 2020
Knowledge Distillation (KD) aims to distill the knowledge of a cumbersome teacher model into a lightweight student model. Its success is generally attributed to the privileged information on similarities among categories provided by the teacher model ...
Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng   +4 more
semanticscholar   +1 more source

Generalized Regression Neural Network Based Fast Fading Channel Tracking Using Frequency-Domain CSI Smoothing

IEEE Access, 2021
In the high mobility environment, the channel state information (CSI) in the last part of the packet is different from the beginning part’s actual channel.
Shun Kojima, He He, Takaki Omura, Kazuki Maruta, Chang-Jun Ahn   +4 more
doaj   +1 more source

Fast Ensemble Smoothing [PDF]

, 2006
Smoothing is essential to many oceanographic, meteorological and hydrological applications. The interval smoothing problem updates all desired states within a time interval using all available observations.
A Gelb, AE Bryson Jr, B Moore John, CH Bishop, D Entekhabi, D Stammer, Dennis McLaughlin, DT Pham, E Lorenz, G Evensen, G Evensen, G Evensen, HE Rauch, JL Anderson, JS Whitaker, L Nerger, Sai Ravela, SE Cohn   +17 more
core   +1 more source

Smooth constrained mortality forecasting

Demographic Research, 2019
Background: Mortality can be forecast by means of parametric models, principal component methods, and smoothing approaches. These methods either impose rigid modeling structures or produce implausible outcomes.
Carlo Giovanni Camarda
doaj   +1 more source

Stochastic Aspects of Proportional Vitalities Model

Mathematics, 2020
In this paper, a family of models requiring proportional mean life vitalities is considered. The problem of estimation of the parameter(s) of the model is studied in two cases of known and unknown baselines along with some simulation studies to detect ...
Mansour Shrahili, Abdulhakim A. Albabtain, Mohamed Kayid, Zahra Kaabi   +3 more
doaj   +1 more source

Probability smoothing [PDF]

, 2009
Contains fulltext : 227633.pdf (publisher's version ) (Open ...
Hiemstra, Djoerd
core   +4 more sources

ARCTIS — A MATLAB® Toolbox for Archaeological Imaging Spectroscopy

Remote Sensing, 2014
Imaging spectroscopy acquires imagery in hundreds or more narrow contiguous spectral bands. This offers unprecedented information for archaeological research.
Clement Atzberger, Michael Wess, Michael Doneus, Geert Verhoeven   +3 more
doaj   +1 more source