Results 51 to 60 of about 46,215 (298)

Outlier removal for Nail model.

, 2018
A: Nail model with different outliers, B: isolated outlier is removed, C: sparse outlier is removed, D: non-isolated outlier removal result.
Fan Li (49953), Xiaojuan Ning (5586980), Ge Tian (1877536), Yinghui Wang (581066)   +3 more
core   +1 more source

Gradient Outlier Removal for Gradient‐Domain Path Tracing

, 2019
We present a new outlier removal technique for a gradient-domain path tracing (G-PT) that computes image gradients as well as colors. Our approach rejects gradient outliers whose estimated errors are much higher than those of the other gradients for ...
Yoon, Sung-Eui, Sojin Oh, Ohm Sojin, Back, Jonghee, Sung‐Eui Yoon, Moon, Bochang, Jonghee Back, Bochang Moon, Saerom Ha, Ha, Saerom   +9 more
core   +2 more sources

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

Outlier removal for monster model.

, 2018
A: Monster model with different outliers, B: isolated outlier is removed, C: sparse outlier is removed, D: non-isolated outlier removal result.
Fan Li (49953), Xiaojuan Ning (5586980), Ge Tian (1877536), Yinghui Wang (581066)   +3 more
core   +1 more source

The combined effect of outlier detection and regressing-out.

, 2022
The left plot shows the effect of regressing out when all other preprocessing steps (outlier and toxic drug removal, and cell outlier removal) are applied.
Arghavan Rezvani (12501395), Mahtab Bigverdi (12501398), Mohammad Hossein Rohban (12501401)   +2 more
core   +1 more source

ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation

IEEE Access, 2019
ShotgunWSD is a recent unsupervised and knowledge-based algorithm for global word sense disambiguation (WSD). The algorithm is inspired by the Shotgun sequencing technique, which is a broadly-used whole genome sequencing approach. ShotgunWSD performs WSD
Andrei M. Butnaru, Radu Tudor Ionescu
doaj   +1 more source

Shear wave velocity prediction using bidirectional recurrent gated graph convolutional network with total information embeddings

Frontiers in Earth Science, 2023
Shear wave velocity is an essential elastic rock parameter for reservoir characterization, fluid identification, and rock physics model building. However, S-wave velocity logging data are often missing due to economic reason.
David Cova, David Cova, Yang Liu, Yang Liu, Yang Liu   +4 more
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Robust Hessian Locally Linear Embedding Techniques for High-Dimensional Data

Algorithms, 2016
Recently manifold learning has received extensive interest in the community of pattern recognition. Despite their appealing properties, most manifold learning algorithms are not robust in practical applications.
Xianglei Xing, Sidan Du, Kejun Wang
doaj   +1 more source

3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems

Remote Sensing, 2020
The paper proposes a novel framework for registering and segmenting 3D point clouds of large-scale natural terrain and complex environments coming from a multisensor heterogeneous robotics system, consisting of unmanned aerial and ground vehicles.
Haris Balta, Jasmin Velagic, Halil Beglerovic, Geert De Cubber, Bruno Siciliano   +4 more
doaj   +1 more source