Results 61 to 70 of about 693,698 (310)
Deep Fishing: Gradient Features from Deep Nets [PDF]
Procedings of the British Machine Vision Conference 2015, 2015 To appear at BMVC ...
Albert Gordo +2 more
openaire +2 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
Remote Sensing, 2021 In the era of big data, where massive amounts of remotely sensed imagery can be obtained from various satellites accompanied by the rapid change in the surface of the Earth, new techniques for large-scale change detection are necessary to facilitate ...
Rasha S. Gargees, Grant J. Scott
doaj +1 more source
Deep motion features for visual tracking
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 ICPR 2016.
Susanna Gladh +3 more
openaire +4 more sources
Deep unsupervised feature selection by discarding nuisance and correlated features
Neural Networks, 2022 Modern datasets often contain large subsets of correlated features and nuisance features, which are not or loosely related to the main underlying structures of the data. Nuisance features can be identified using the Laplacian score criterion, which evaluates the importance of a given feature via its consistency with the Graph Laplacians' leading ...
Uri Shaham 0001 +3 more
openaire +4 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa +7 more
wiley +1 more source
A Bayesian Scene-Prior-Based Deep Network Model for Face Verification
Sensors, 2018 Face recognition/verification has received great attention in both theory and application for the past two decades. Deep learning has been considered as a very powerful tool for improving the performance of face recognition/verification recently.
Huafeng Wang +5 more
doaj +1 more source
Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning
Applied Sciences, 2021 Malware is a key component of cyber-crime, and its analysis is the first line of defence against cyber-attack. This study proposes two new malware classification frameworks: Deep Feature Space-based Malware classification (DFS-MC) and Deep Boosted ...
Muhammad Asam +8 more
doaj +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Process of extracting deep features from trajectory image.
, 2018 Process of extracting deep features from trajectory image.
Zhizheng Liang (4994216) +3 more
core +1 more source