Results 51 to 60 of about 17,207,506 (302)

Non-parametric Models of Distortion in Imaging Systems. [PDF]

, 2016
Traditional radial lens distortion models are based on the physical construction of lenses. However, manufacturing defects and physical shock often cause the actual observed distortion to be different from what can be modeled by the physically motivated ...
Ranganathan, Pradeep
core   +5 more sources

Techniques and Developments in Stochastic Streamflow Synthesis—A Comprehensive Review

Encyclopedia
Stochastic streamflow synthesis has long been the cornerstone of water resource planning, enabling the generation of extended hydrological sequences that reflect natural variability beyond the limitations of observed records.
Shirin Studnicka, Umed S. Panu
doaj   +1 more source

Performance Comparison of Parametric and Non-Parametric Regression Models for Uncertainty Analysis of Sheet Metal Forming Processes

Metals, 2020
This work aims to compare the performance of various parametric and non-parametric metamodeling techniques when applied to sheet metal forming processes. For this, the U-Channel and the Square Cup forming processes were studied.
Armando E. Marques, Pedro A. Prates, André F. G. Pereira, Marta C. Oliveira, José V. Fernandes, Bernardete M. Ribeiro   +5 more
doaj   +1 more source

On the pitfalls of Gaussian likelihood scoring for causal discovery

Journal of Causal Inference, 2023
We consider likelihood score-based methods for causal discovery in structural causal models. In particular, we focus on Gaussian scoring and analyze the effect of model misspecification in terms of non-Gaussian error distribution. We present a surprising
Schultheiss Christoph, Bühlmann Peter
doaj   +1 more source

Action classification using a discriminative non-parametric hidden Markov model [PDF]

, 2013
We classify human actions occurring in videos, using the skeletal joint positions extracted from a depth image sequence as features. Each action class is represented by a non-parametric Hidden Markov Model (NP-HMM) and the model parameters are learnt in ...
Maybank, Stephen J., Zhang, Dell, Raman, Natraj, S. J. Maybank, Dell Zhang, Natraj Raman   +5 more
core   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad, Ohad Atia, Osama Tanous, Dafna Brik Simon, Michal Dvori, Miriam Cohen, Tracie A. Goldberg, Efraim Bilavsky, Joanne Yacobovich, Orna Steinberg‐Shemer   +9 more
wiley   +1 more source

A Bayesian natural cubic B-spline varying coefficient method for non-ignorable dropout

BMC Medical Research Methodology, 2020
Background Dropout is a common problem in longitudinal clinical trials and cohort studies, and is of particular concern when dropout occurs for reasons that may be related to the outcome of interest. This paper reviews common parametric models to account
Camille M. Moore, Samantha MaWhinney, Nichole E. Carlson, Sarah Kreidler   +3 more
doaj   +1 more source

Bayesian non-parametrics and the probabilistic approach to modelling [PDF]

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013
Modelling is fundamental to many fields of science and engineering. A model can be thought of as a representation of possible data one could predict from a system. The probabilistic approach to modelling uses probability theory to express all aspects of uncertainty in the model.
openaire   +3 more sources

Non-parametric and light-field deformable models [PDF]

Computer Vision and Image Understanding, 2006
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications including object recognition, tracking and segmentation. These techniques, however, have been limited to objects with Lambertian surface reflectance, simple geometry and topology.
C. Mario Christoudias, Louis-Philippe Morency, Trevor Darrell   +2 more
openaire   +2 more sources

Feeding, Fear, and Acceptance: Caregivers’ Experiences of Nutritional Support During Childhood Cancer Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques, Mariana dos Santos Murra, Welinton Hirai, Ana Laura Balduino do Nascimento, Karla Emilia de Sá Rodrigues, Wilson Elias de Oliveira Junior   +5 more
wiley   +1 more source