Results 71 to 80 of about 3,027 (198)

No-Reference Hyperspectral Image Quality Assessment via Ranking Feature Learning

Remote Sensing
In hyperspectral image (HSI) reconstruction tasks, due to the lack of ground truth in real imaging processes, models are usually trained and validated on simulation datasets and then tested on real measurements captured by real HSI imaging systems ...
Yuyan Li, Yubo Dong, Haoyong Li, Danhua Liu, Fang Xue, Dahua Gao   +5 more
doaj   +1 more source

Optimized and Aligned Anisotropic Monte Carlo Sampling Patterns

Computer Graphics Forum, EarlyView.
Abstract Path tracing uses Monte Carlo integration to solve the rendering equation by evaluating the integrand at random sampling points. The convergence rate of the error can be significantly improved by using correlated instead of random sampling, especially on smooth integrands.
Mirco Werner, Johannes Hanika, Carsten Dachsbacher   +2 more
wiley   +1 more source

On a class of norms generated by nonnegative integrable distributions

Dependence Modeling, 2019
We show that any distribution function on ℝd with nonnegative, nonzero and integrable marginal distributions can be characterized by a norm on ℝd+1, called F-norm. We characterize the set of F-norms and prove that pointwise convergence of a sequence of F-
Falk Michael, Stupfler Gilles
doaj   +1 more source

Biogeography of Atlantic Salmon in the Cape Breton Highlands, Canada

Fisheries Management and Ecology, EarlyView.
ABSTRACT Atlantic Salmon (Salmo salar) populations have experienced significant declines in recent decades. In Canada, conservation efforts are divided into 16 designatable units (DUs) to address unique regional challenges among genetically distinct populations.
Oscar D. P. Notman‐Grobler, Josh Roland, Ken Oakes, Morgan L. Piczak, Robert J. Lennox   +4 more
wiley   +1 more source

Toward a Synthetic Data Revolution: Diffusion Model‐Enhanced Hepatocellular Carcinoma Prediction in Steatotic Liver Disease

Hepatology Research, EarlyView.
ABSTRACT Aim Steatotic liver disease (SLD) encompasses a heterogeneous spectrum with varying risks of hepatocellular carcinoma (HCC). Limited sample sizes limit the development of predictive models, particularly for rare outcomes. This study evaluated whether generative artificial intelligence (AI)‐based synthetic data augmentation can enhance HCC risk
Masaya Sato, Takuma Nakatsuka, Yuki Matsushita, Takuma Kaneko, Keisuke Mabuchi, Tomoharu Yamada, Kazuya Okushin, Tatsuya Minami, Yotaro Kudo, Satoshi Kodera, Kazuhiko Koike, Mitsuhiro Fujishiro, Ryosuke Tateishi   +12 more
wiley   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Missing Values in Time Series: A Brief Review and a New Versatile Imputation Method

International Statistical Review, EarlyView.
Summary Missing data can significantly hamper standard time series analysis, yet they occur frequently in applications. In this paper, we briefly review some available methods for handling missing values and introduce the temporal Wasserstein imputation, a novel method for imputing missing data in time series.
Shuo‐Chieh Huang, Tengyuan Liang, Ruey S. Tsay   +2 more
wiley   +1 more source

Bridging classical data assimilation and optimal transport: the 3D-Var case [PDF]

Nonlinear Processes in Geophysics
Because optimal transport (OT) acts as displacement interpolation in physical space rather than as interpolation in value space, it can avoid double-penalty errors generated by mislocations of geophysical fields.
M. Bocquet, P. J. Vanderbecken, A. Farchi, J. Dumont Le Brazidec, Y. Roustan   +4 more
doaj   +1 more source

Density‐Valued ARMA Models by Spline Mixtures

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley   +1 more source

Testing Distributional Granger Causality With Entropic Optimal Transport

Journal of Time Series Analysis, EarlyView.
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley   +1 more source