Learning Target Candidate Association to Keep Track of What Not to Track [PDF]
IEEE International Conference on Computer Vision, 2021 The presence of objects that are confusingly similar to the tracked target, poses a fundamental challenge in appearance-based visual tracking. Such distractor objects are easily misclassified as the target itself, leading to eventual tracking failure ...
Christoph Mayer +3 more
semanticscholar +1 more source
Association Rules to Identify Complications of Cerebral Infarction in Patients with Atrial Fibrillation [PDF]
Healthcare Informatics Research, 2013 ObjectivesThe purpose of this study was to find risk factors that are associated with complications of cerebral infarction in patients with atrial fibrillation (AF) and to discover useful association rules among these factors.MethodsThe risk factors with
Sun-Ju Jung +5 more
doaj +1 more source
, 2009 In Classification learning, an algorithm is presented with a set of classified examples or ‘‘instances’’ from which it is expected to infer a way of classifying unseen instances into one of several ‘‘classes’’.
Witten, Ian H.
core +2 more sources
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning [PDF]
IEEE Transactions on Wireless Communications, 2020 Federated Learning (FL) has been proposed as an appealing approach to handle data privacy issue of mobile devices compared to conventional machine learning at the remote cloud with raw user data uploading.
Siqi Luo +4 more
semanticscholar +1 more source
Modeling eating behaviors: The role of environment and positive food association learning via a Ratatouille effect. [PDF]
Mathematical biosciences and engineering : MBE, 2015 Eating behaviors among a large population of children are studied as a dynamic process driven by nonlinear interactions in the sociocultural school environment. The impact of food association learning on diet dynamics, inspired by a pilot study conducted
Anarina L. Murillo +4 more
semanticscholar +1 more source
Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks [PDF]
IEEE Transactions on Industrial Informatics, 2020 Emerging technologies, such as digital twins and 6th generation (6G) mobile networks, have accelerated the realization of edge intelligence in industrial Internet of Things (IIoT).
Yunlong Lu +4 more
semanticscholar +1 more source
Interspecific association of brown trout (Salmo trutta) with non-native brook trout (Salvelinus fontinalis) at the fry stage [PDF]
, 2017 The introduction of non-native brook trout (Salvelinus fontinalis) in Europe has led to displacement and decreasing populations of native brown trout (Salmo trutta).
Johnsson, Jörgen I. +3 more
core +1 more source
Pavlov's dog associative learning demonstrated on synaptic-like organic transistors [PDF]
, 2013 In this letter, we present an original demonstration of an associative learning neural network inspired by the famous Pavlov's dogs experiment. A single nanoparticle organic memory field effect transistor (NOMFET) is used to implement each synapse.
Alibart, F. +6 more
core +3 more sources