Improved Insight into and Prediction of Network Dynamics by Combining VAR and Dimension Reduction
Sign Up to like & getrecommendations! Published in 2018 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2018.1516540
Abstract: Abstract To understand within-person psychological processes, one may fit VAR(1) models (or continuous-time variants thereof) to multivariate time series and display the VAR(1) coefficients as a network. This approach has two major problems. First, the… read more here.
Keywords: insight prediction; network; network dynamics; var ... See more keywords
MCK-Net: A Pedestrian Trajectory Prediction Network With MRF Clique Model and KAN
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3605639
Abstract: Pedestrian trajectory prediction within open social environments is a vital component of mobile robotics and autonomous driving. The inherent uncertainty and multimodality introduce considerable challenges for this task. Currently, an effective approach is to first… read more here.
Keywords: clique; prediction; prediction network; mck net ... See more keywords
MSDIPN: Multi-Scale Deep Interval Prediction Network for Multivariate Time Series
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3579406
Abstract: Interval prediction is crucial in decision-making processes across many domains. Although significant progress has been made in existing interval prediction methods, they still face several challenges, such as assumptions about data distribution, fixed interval widths,… read more here.
Keywords: interval prediction; scale deep; multi scale; prediction ... See more keywords
Future Frame Prediction Network for Video Anomaly Detection.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3129349
Abstract: Video Anomaly detection in videos refers to the identification of events that do not conform to expected behavior. However, almost all existing methods cast this problem as the minimization of reconstruction errors of training data… read more here.
Keywords: video; anomaly detection; video anomaly; prediction network ... See more keywords
Dilated kernel prediction network for single-image denoising
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.30.2.023021
Abstract: Abstract. Deep convolutional neural networks (CNNs) have achieved considerable success in terms of image denoising. However, previous CNN denoisers have been restricted by rigid kernel convolution that applies equal spatial treatment across images. To fully… read more here.
Keywords: prediction network; single image; image; kernel prediction ... See more keywords
STMP-Net: A Spatiotemporal Prediction Network Integrating Motion Perception
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23115133
Abstract: This article proposes a video prediction network called STMP-Net that addresses the problem of the inability of Recurrent Neural Networks (RNNs) to fully extract spatiotemporal information and motion change features during video prediction. STMP-Net combines… read more here.
Keywords: motion perception; prediction network; motion; stmp net ... See more keywords
DGAN-KPN: Deep Generative Adversarial Network and Kernel Prediction Network for Denoising MC Renderings
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14020395
Abstract: In this paper, we present a denoising network composed of a kernel prediction network and a deep generative adversarial network to construct an end-to-end overall network structure. The network structure consists of three parts: the… read more here.
Keywords: network; prediction network; model; kernel prediction ... See more keywords