Results 1 to 10 of about 160,558 (267)
Smooth Imitation Learning via Smooth Costs and Smooth Policies [PDF]
Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), 2022 To appear in the Proceedings of the Fifth Joint International Conference on Data Science and Management of Data (CoDS-COMAD 2022). Research Track.
Sapana Chaudhary, Balaraman Ravindran
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Bayesian Cramér-Rao Lower Bounds for Prediction and Smoothing of Nonlinear TASD Systems
Sensors, 2022 The performance evaluation of state estimators for nonlinear regular systems, in which the current measurement only depends on the current state directly, has been widely studied using the Bayesian Cramér-Rao lower bound (BCRLB).
Xianqing Li +3 more
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OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data
Metabolites, 2021 Principal component analysis (PCA) has been widely used in metabolomics. However, it is not always possible to detect phenotype-associated principal component (PC) scores.
Hiroyuki Yamamoto +2 more
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Nesterov Smoothing for Sampling Without Smoothness
2023 62nd IEEE Conference on Decision and Control (CDC), 2023 We study the problem of sampling from a target distribution in $\mathbb{R}^d$ whose potential is not smooth. Compared with the sampling problem with smooth potentials, this problem is much less well-understood due to the lack of smoothness. In this paper, we propose a novel sampling algorithm for a class of non-smooth potentials by first approximating ...
Jiaojiao Fan +3 more
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Optical Flow Estimation Based on Curvelet Transform and Spatio-temporal Derivatives [PDF]
Engineering and Technology Journal, 2010 Optical flow estimation is still one of the key problems in computer vision.When estimating the displacement field between two images, it is applied as soonas correspondences between pixels are needed.
Atheer A. Sabri
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Waved aCGH: to smooth or not to smooth [PDF]
Nucleic Acids Research, 2010 Array-based comparative genomic hybridization (aCGH) is a powerful tool to detect genomic imbalances in the human genome. The analysis of aCGH data sets has revealed the existence of a widespread technical artifact termed as 'waves', characterized by an undulating data profile along the chromosome.
Leprêtre, F. +10 more
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Time Series Smoothing Improving Forecasting
Applied Computer Systems, 2021 Both statistical and neural network methods may fail in forecasting time series even operating on a great amount of data. It is an open question of which amount fits best to make sufficiently accurate forecasts on it. This implies that the length or time
Romanuke Vadim
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Remote Sensing, 2023 Time series of optical remote sensing data are instrumental for monitoring vegetation dynamics, but are hampered by missing or noisy observations due to varying atmospheric conditions.
Pieter Kempeneers +2 more
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Reversible Image Processing for Color Images with Flexible Control
Applied Sciences, 2023 In this paper, we propose an image processing method for color images to reversibly achieve flexible functions. Most previous research has focused on reversible contrast enhancement (CE) for grayscale images. When we directly apply these methods to color
Yuki Sugimoto, Shoko Imaizumi
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Discrete and Fuzzy Models of Time Series in the Tasks of Forecasting and Diagnostics
Axioms, 2020 The development of the economy and the transition to industry 4.0 creates new challenges for artificial intelligence methods. Such challenges include the processing of large volumes of data, the analysis of various dynamic indicators, the discovery of ...
Anton Romanov +4 more
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