Results 121 to 130 of about 140,466 (301)
HINE: Heterogeneous Information Network Embedding
Network embedding has shown its effectiveness in embedding homogeneous networks. Compared with homogeneous networks, heterogeneous information networks (HINs) contain semantic information from multi-typed entities and relations, and are shown to be a ...
Chen, Yuxin +3 more
core +1 more source
A simulation framework for Virtual Network Embedding algorithms
Network virtualization is seen as an enabling technology for the Future Internet. In this context, many Virtual Network Embedding algorithms have been introduced in literature so far.
Fischer, Andreas, +9 more
core +1 more source
DeshadowNet: A Multi-context Embedding Deep Network for Shadow Removal
Shadow removal is a challenging task as it requires the detection/annotation of shadows as well as semantic understanding of the scene. In this paper, we propose an automatic and end-to-end deep neural network (DeshadowNet) to tackle these problems in a ...
Tian JD(田建东) +4 more
core
Network embedding based on DepDist contraction [PDF]
Networks provide an understandable and, in the case of small size, visualizable representation of data, which allows us to obtain essential information about the relationships between pairs of nodes, e.g., their distances. In visualization, networks have
Dopater, Emanuel +5 more
core +1 more source
Survivable Virtual Network Embedding
International audienceNetwork virtualization can offer more flexibility and better manageability for the future Internet by allowing multiple heterogeneous virtual networks (VN) to coexist on a shared infrastructure provider (InP) network.
Muntasir Raihan Rahman +5 more
core +1 more source
Binarized attributed network embedding [PDF]
© 2018 IEEE. Attributed network embedding enables joint representation learning of node links and attributes. Existing attributed network embedding models are designed in continuous Euclidean spaces which often introduce data redundancy and impose ...
Chen, L +11 more
core +1 more source
Nane: A Node2vec Extension for Attributed Network Embedding [PDF]
Traditional network representation learning methods focus solely on the network’s topology, ignoring other sources of information that could improve the learning process.
Sarah Abdulkareem Ahmed Ahmed +1 more
doaj +1 more source
SPG4 and Dementia: Expanding the Clinical Spectrum
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source

