Results 51 to 60 of about 1,650,745 (287)
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source
Low-Rank Representation-Based Object Tracking Using Multitask Feature Learning with Joint Sparsity
We address object tracking problem as a multitask feature learning process based on low-rank representation of features with joint sparsity. We first select features with low-rank representation within a number of initial frames to obtain subspace basis.
Hyuncheol Kim, Joonki Paik
doaj +1 more source
A Probabilistic Hyperspectral Imagery Restoration Method
Hyperspectral image (HSI) restoration is an important task of hyperspectral imagery processing, which aims to improve the performance of the subsequent HSI interpretation and applications.
Wei Wei, Jiatao Nie, Chunna Tian
doaj +1 more source
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian +7 more
wiley +1 more source
This paper is focused on the efficient algorithm design for affine rank minimization (ARM) and compressed robust principal component analysis (CRPCA). Given the proliferation of the literature on the ARM and CRPCA problems, the existing algorithms mostly
Xuehai He, Zhipeng Xue, Xiaojun Yuan
doaj +1 more source
Synthetic aperture radar (SAR) frequently suffers from radio frequency interference (RFI) due to the simultaneous presence of numerous wireless communication signals.
Zhouyang Tang +2 more
doaj +1 more source
Recovery of Low-Rank Matrices under Affine Constraints via a Smoothed Rank Function
In this paper, the problem of matrix rank minimization under affine constraints is addressed. The state-of-the-art algorithms can recover matrices with a rank much less than what is sufficient for the uniqueness of the solution of this optimization ...
Amini, Arash +3 more
core +3 more sources
ABSTRACT Background Blinatumomab is a bispecific T‐cell engager approved for the treatment of pediatric B‐cell acute lymphoblastic leukemia (B‐ALL). Outpatient home infusion reduces hospitalization burden and optimizes resource utilization, but is logistically challenging.
Angela Parra del Riego +10 more
wiley +1 more source
A Splitting Augmented Lagrangian Method for Low Multilinear-Rank Tensor Recovery [PDF]
This paper studies a recovery task of finding a low multilinear-rank tensor that fulfills some linear constraints in the general settings, which has many applications in computer vision and graphics.
Huang, Zheng-Hai, Li, Yufan, Yang, Lei
core
Lower Bounds in Minimum Rank Problems
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mitchell, Lon +2 more
openaire +3 more sources

