Results 71 to 80 of about 1,199,829 (349)

Modeling Unknown Class Centers for Metric Learning on Person Re-Identification

IEEE Access, 2018
Metric learning is one of the major methods for person re-identification. Most existing metric learning methods for person re-identification first generate the pairwise constraints where the sample pairs with the same labels consist of the positive set ...
Yuan Yuan, Jian'an Zhang, Qi Wang
doaj   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait, R. Al‐Saadi, A. Lopez‐Cortes, K. Dzhuma, M. Oostveen, J. Brok, S. Irtan, M. Weeks, J. Bate, S. Baker, R. Williams, M. Powis, D. Saunders, O. Olsen, T. Watson, S. Shelmerdine, S. Vaidya, L. Howell, C. Duncan, G. M. Vujanic, C. Stiller, G. P. Balchin, T. Chowdhury, K. Pritchard‐Jones   +23 more
wiley   +1 more source

Effectiveness of YOLO variants for small object detection in SAR images using a new dataset

Scientific Reports
Small object detection in SAR imagery remains challenging due to limited availability of specialized datasets. The article presents a new SAR dataset designed for small-object detection.
Kinga Karwowska, Jakub Slesinski, Damian Wierzbicki   +2 more
doaj   +1 more source

The Role of Magnetic Resonance Cholangiopancreatography in Diagnosing Biliary Tract Variants and Anomalies: A Case Report of a Choledochal Cyst

Albanian Journal of Trauma and Emergency Surgery
Introduction: Choledochal cysts are rare congenital anomalies of the biliary tree with significant risks of cholangitis, pancreatitis, and malignant transformation if not diagnosed early.
Eni Mehmeti, Ergisa Toska, Anila Kristo, Besmir Bulku, Bledi Masati   +4 more
doaj   +1 more source

GENERATING ACCURATE 3D MODELS OF ARCHITECTURAL HERITAGE STRUCTURES USING LOW-COST CAMERA AND OPEN SOURCE ALGORITHMS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
These studies have been conductedusing non-metric digital camera and dense image matching algorithms, as non-contact methods of creating monuments documentation.In order toprocess the imagery, few open-source software and algorithms of generating adense ...
M. Zacharek, P. Delis, M. Kedzierski, A. Fryskowska   +3 more
doaj   +1 more source

Performance of NoSQL Graph Implementations of Star vs. Snowflake Schemas

IEEE Access, 2022
Nowadays, the data used for decision-making come from a wide variety of sources which are difficult to manage using relational databases. To address this problem, many researchers have turned to Not only SQL (NoSQL) databases to provide scalability and ...
Hajer Akid, Gabriel Frey, Mounir Ben Ayed, Nicolas Lachiche   +3 more
doaj   +1 more source

Does priming really put the gloss on performance? [PDF]

, 2013
Priming has recently emerged in the literature as offering advantages in the preparation for skilled performance. Accordingly, the current study tested the efficacy of imagery against a priming paradigm as a means of enhancing motor performance: in ...
Collins, D., Winter, S.,
core   +2 more sources

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source

Image Inpainting and Digital Camouflage: Methods, Applications, and Perspectives for Remote Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Image inpainting refers to the process of restoring missing or damaged areas in an image. This research field has been very active in recent years, driven by various applications such as reconstructing lost fragments, concealing data loss in corrupted ...
Kinga Karwowska, Damian Wierzbicki, Michal Kedzierski   +2 more
doaj   +1 more source

Hyperspectral Anomaly Detection Based on Separability-Aware Sample Cascade

Remote Sensing, 2019
A hyperspectral image usually covers a large scale of ground scene, which contains various materials with different spectral properties. When directly exploring the background information using all the image pixels, complex spectral interactions and ...
Dandan Ma, Yuan Yuan, Qi Wang
doaj   +1 more source