Results 71 to 80 of about 1,397,164 (333)
A Study on Systematic Improvement of Transformer Models for Object Pose Estimation
Transformer architecture, initially developed for natural language processing and time series analysis, has been successfully adapted to various generative models in several domains.
Jungwoo Lee, Jinho Suh
doaj +1 more source
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez +13 more
wiley +1 more source
Clutter rank estimation for the multistage Wiener filter
In airborne radar, reduced rank detection techniques are used when there are insufficient samples available for fully adaptive processing. This is the case in maritime radar, where the data can be both non‐stationary and non‐homogeneous.
Rachel Gray +3 more
doaj +1 more source
Rank Dynamics of Word Usage at Multiple Scales
The recent dramatic increase in online data availability has allowed researchers to explore human culture with unprecedented detail, such as the growth and diversification of language.
José A. Morales +16 more
doaj +1 more source
Reduced rank regression with matrix projections for high-dimensional multivariate linear regression model [PDF]
Wenxing Guo +2 more
openalex +1 more source
ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell +14 more
wiley +1 more source
Hyperspectral Image Denoising via Correntropy-Based Nonconvex Low-Rank Approximation
Hyperspectral images (HSIs) are prone to be corrupted by various types of noise during the process of imaging and transmission, which seriously affect the subsequent HSI processing tasks. In this article, we proposed a novel low-rank-based model for HSIs
Peizeng Lin +3 more
doaj +1 more source
ARMAX(p,r,q) parameter identifiability without coprimeness [PDF]
In the ARMAX(p; r; q) model given (p; r; q); the presence of multiple parameters is often ignored. In a coprime model Hannan has shown that the unrestricted reduced form (URF) parameter is identifiable under the simple condition that the end parameter ...
Wegge, Leon
core
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher +8 more
wiley +1 more source
Bayesian Trace Statistics for the Reduced Rank Regression Model. [PDF]
Estimation of the reduced rank regression model requires restrictions be imposed upon the model. Two forms of restrictions are commonly used. Earlier Bayesian work relied on the triangular method of identification which imposes an a priori ordering on ...
Inder, B., Strachan, R.W.
core

