Instance invariant visual servoing framework for part‐aware autonomous vehicle inspection using MAVs
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Field Robotics"
DOI: 10.1002/rob.21859
Abstract: Visual servoing approaches navigate a robot to the desired pose with respect to a given object using image measurements. As a result, these approaches have several applications in manipulation, navigation and inspection. However, existing visual… read more here.
Keywords: vehicle; instance; framework; visual servoing ... See more keywords
Active instance matching with pairwise constraints and its application to Chinese knowledge base construction
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DOI: 10.1007/s10115-017-1076-7
Abstract: Instance matching is the problem of determining whether two instances describe the same real-world entity or not. Instance matching plays a key role in data integration and data cleansing, especially for building a knowledge base.… read more here.
Keywords: knowledge base; instance; instance matching; washington ... See more keywords
Exploiting patterns to explain individual predictions
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DOI: 10.1007/s10115-019-01368-9
Abstract: Users need to understand the predictions of a classifier, especially when decisions based on the predictions can have severe consequences. The explanation of a prediction reveals the reason why a classifier makes a certain prediction,… read more here.
Keywords: test instance; explanation; classifier; instance ... See more keywords
Multiple Instance Learning via Semi-supervised Laplacian TSVM
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DOI: 10.1007/s11063-017-9579-5
Abstract: Multiple instance learning attempts to learn from a training set consists of labeled bags each containing many unlabeled instances. In previous works, most existing algorithms mainly pay attention to the ‘most positive’ instance in each… read more here.
Keywords: instance learning; semi supervised; multiple instance; via semi ... See more keywords
Deep multiple instance selection
Sign Up to like & getrecommendations! Published in 2021 at "Science China Information Sciences"
DOI: 10.1007/s11432-020-3117-3
Abstract: Multiple instance learning (MIL) assigns a single class label to a bag of instances tailored for some real-world applications such as drug activity prediction. Classical MIL methods focus on figuring out interested instances, that is,… read more here.
Keywords: selection deep; multiple instance; selection; instance selection ... See more keywords
Multiple instance learning for sequence data with across bag dependencies
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-01021-5
Abstract: In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences. In some real world applications such as bioinformatics, comparing a random couple of sequences makes no sense. In fact,… read more here.
Keywords: instance learning; multiple instance; sequence data; across bag ... See more keywords
A Solution to the Raven Paradox: A Redefinition of the Notion of Instance
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Indian Council of Philosophical Research"
DOI: 10.1007/s40961-016-0075-5
Abstract: In this paper, I critically analyse two strands of Bayesian solution to the paradox: the standard Bayesian solution and the attempts to refute Nicod’s criterion (NC). I argue that the standard Bayesian solution evades the… read more here.
Keywords: instance confirmation; instance; solution; notion instance ... See more keywords
DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images
Sign Up to like & getrecommendations! Published in 2021 at "Computer Methods and Programs in Biomedicine"
DOI: 10.1016/j.cmpb.2021.106406
Abstract: Background and Objective Given that the novel coronavirus disease 2019 (COVID-19) has become a pandemic, a method to accurately distinguish COVID-19 from community-acquired pneumonia (CAP) is urgently needed. However, the spatial uncertainty and morphological diversity… read more here.
Keywords: deep represented; community acquired; covid community; instance ... See more keywords
A taxonomic look at instance-based stream classifiers
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DOI: 10.1016/j.neucom.2018.01.062
Abstract: Abstract Large numbers of data streams are today generated in many fields. A key challenge when learning from such streams is the problem of concept drift. Many methods, including many prototype methods, have been proposed… read more here.
Keywords: concept drift; taxonomic look; based stream; instance based ... See more keywords
Transfer learning with partial related "instance-feature" knowledge
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DOI: 10.1016/j.neucom.2018.05.029
Abstract: Abstract Transfer learning, which applies the knowledge from related but different source domains to improve the learning of the target domains, has attracted much attention in recent years. Lots of transfer learning methods have been… read more here.
Keywords: feature knowledge; source; instance; transfer ... See more keywords
Multi-Instance Convolutional Neural Network for multi-shot person re-identification
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DOI: 10.1016/j.neucom.2019.01.076
Abstract: Abstract This paper tackles the challenging problem of multi-shot person re-identification with Convolutional Neural Network (CNN). As no prior information about how importance each instance plays, it is non-trivial to exploit the interaction information shared… read more here.
Keywords: neural network; multi shot; problem; instance ... See more keywords