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Critical assessment of structure-based sequence alignment methods at distant relationships
2011
Briefings in Bioinformatics
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Accurate sequence alignments are crucial for modelling and to provide an evolutionary picture of related proteins. It is well-known that alignments are hard to obtain during distant relationships. ...
Three thousand and fifty-two alignments of 218 pairs of protein domain structural entries, with <40% sequence identity, belonging to different structural classes, of diverse domain sizes and length-rigid ...
Acknowledgements We thank Mr Nagarajan for analysing MINRMS results scripts and also for discussions. K.K. thanks University Grants Commission for his studentship. ...
doi:10.1093/bib/bbq025
pmid:21422071
fatcat:6bdx4dzvbreefjtr4w5r7ash3u
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation
2022
IEEE Transactions on Image Processing
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2022 pre-print arXiv:2207.00003v1 fatcat:dzqhjfyshfcy7bwdo4ytv74rzu
In this paper, we address the Online Unsupervised Domain Adaptation (OUDA) problem and propose a novel multi-stage framework to solve real-world situations when the target data are unlabeled and arriving ...
Furthermore, the transformation matrix computed from the mean-target subspace is applied to the next target data in the recursive-feedback stage, aligning the target data closer to the source domain. ...
ACKNOWLEDGMENT The authors would like to extend their sincere thanks to Hyeonwoo Yu and Sanghyun Cho for valuable discussions and suggestions. ...
doi:10.1109/tip.2022.3186537
pmid:35776807
fatcat:2e2ksxgaazfhnb5d42npf2sv7a
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shifts
[article]
2022
arXiv
pre-print
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As a remedy, in this work, we present a novel approach to geometric domain adaptation for image registration, adapting a model from a labeled source to an unlabeled target domain. ...
We evaluate the method for exhale-to-inhale lung CT registration under two challenging adaptation scenarios (DIR-Lab 4D CT to COPD, COPD to Learn2Reg). ...
We gratefully acknowledge the financial support by the Federal Ministry for Economic Affairs and Climate Action of Germany (FKZ: 01MK20012B) and by the Federal Ministry for Education and Research of Germany ...
arXiv:2207.00371v1
fatcat:fq74dje5qzbi7cqs3r6rf4at4a
OVL: One-View Learning for Human Retrieval
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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OVL is a problem of multi-target open set domain adaptation that is difficult for existing domain adaptation methods to handle. ...
The former learns a multi-view discriminator by adversarial learning to align the feature distributions between all views. ...
OVL can be regarded as a problem of multi-target open set domain adaptation. ...
doi:10.1609/aaai.v34i07.6804
fatcat:smokwhxre5eidfnmnk2v5gooty
Range Expansion for Wireless Power Transfer using Joint Beamforming and Waveform Architecture: An Experimental Study in Indoor Environment
[article]
2021
arXiv
pre-print
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In this paper, we experimentally study a channel-adaptive joint beamforming and waveform architecture to expand the power transfer range. ...
Far-field Wireless Power Transfer (WPT) has emerged as a potential power source for the Internet of Things (IoT) and Wireless Sensor Network (WSN).The expansion of the power transfer range is one of the ...
Remarkably, the following results show that the gains are cumulative. Fig. 8 displays the measured output DC power and their fitting results for multi-tone multi-antenna SMF signals. ...
arXiv:2010.01680v2
fatcat:nbzdcayqanar5aun64vbznz4h4
Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval
2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
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To overcome these problems, we propose a novel hierarchical instance feature alignment (HIFA) method for this task. ...
To mix up the features in two domains, we enforce feature alignment considering both global domain and local semantic levels. ...
adaptation, the max-pool pooling operation are adopted to fuse multi-view features. ...
doi:10.24963/ijcai.2020/117
dblp:conf/ijcai/ZhouNLSL20
fatcat:fjq7qs5ay5aanbfjjahfbbiq4q
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions
[article]
2022
arXiv
pre-print
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multi-target domain adaptation (MTDA) setting. ...
Second, to promote cross-domain foreground object alignment, we leverage the complementary features of multiple modalities through a multi-scale entropy-weighted domain discriminator. ...
For the multi-target domain adaptation case, the target domain contains all four aforementioned target splits together. ...
arXiv:2203.03568v1
fatcat:e2kthdczbjbzfi6zmowyey2pba
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation
[article]
2022
arXiv
pre-print
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CrossMoDA is the first large and multi-class benchmark for unsupervised cross-modality DA. ...
Domain Adaptation (DA) has recently raised strong interests in the medical imaging community. ...
Cross-MoDA is the first large and multi-class benchmark for unsupervised cross-modality Domain Adaptation. ...
arXiv:2201.02831v2
fatcat:qdd3rj62czdmxjwinmif7mkay4
Resilience in young children involved with child protective services
2018
International Journal of Child Abuse & Neglect
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The results demonstrated that the buffering effects of protective factors varied by social or cognitive resilience and the cumulative effects of protective factors were more consistently related to later ...
These findings have important policy and research implications for promoting optimal development among children involved in child protective services. ...
Specifically, cumulative cognitive stimulation was associated with social, cognitive and multi-domain resilience, and cumulative emotional support was associated with cognitive and (marginally) multi-domain ...
doi:10.1016/j.chiabu.2017.05.004
pmid:28579076
pmcid:PMC5711608
fatcat:xmjxd74t5vf4do5yh36ys4dp5e
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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to any new (unseen) target domain for re-id tasks without the need for collecting new labelled training data from the target domain (i.e. unsupervised learning in the target domain). ...
To address this scalability problem, we develop a novel deep learning method for transferring the labelled information of an existing dataset to a new unseen (unlabelled) target domain for person re-id ...
Vision Semantics Ltd, Royal Society Newton Advanced Fellowship Programme (NA150459), and In-novateUK Industrial Challenge Project on Developing and Commercialising Intelligent Video Analytics Solutions for ...
doi:10.1109/cvpr.2018.00242
dblp:conf/cvpr/WangZGL18
fatcat:6t46zlmqendb5i2fbuorvsrcw4
Bridging decision‐making process and environmental needs in corridor planning
2009
Management of environmental quality
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Purpose -The aim of this paper is to clarify the spatial multi-criteria workflow for stakeholders and decision makers, for which feedback rankings are vital to the success of the transportation planning ...
Originality/value -A novel adaptation of MCDM and AHD within a spatial decision-making framework is presented. ...
Within the domain of transportation roadway planning, alternative alignment generation and the selection of a preferred alignment alternative, multiple criteria evaluation methods have been historically ...
doi:10.1108/14777830910990744
fatcat:l2mginvsmfgbtkwa4qx7rxx2oe
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
[article]
2022
arXiv
pre-print
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2021 pre-print arXiv:2108.09178v1 fatcat:zbcqia27obhh3jprctgx2em4zu
We show that our proposed method outperforms baselines for domain adaptation of colorectal tissue type classification in single and multi-source settings, and further validate our approach on an in-house ...
Making use of open-source data for pre-training or using domain adaptation can be a way to overcome this issue. ...
Philipp Zens, and Guillaume Vray for the annotation of the WSI crops, the feedback on complex stroma detection and the computation of a few baselines that greatly helped the evaluation of our method. ...
arXiv:2108.09178v2
fatcat:nhoqz2gx4rbwlbcjzcfcpfevga
Semantic Integration of Adaptive Educational Systems
[chapter]
2009
Lecture Notes in Computer Science
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One of the challenges that needs to be addressed is the development of mechanisms for student model integration. ...
The architectural principles and representation technologies employed by adaptive educational systems define the applicability of a particular integration approach. ...
CUMULATE accepts reports of user activity from ADAPT 2 systems and infers overlay user knowledge model for a related domain. ...
doi:10.1007/978-3-642-05039-8_8
fatcat:7nx5u5uxjbd53ooboy26sosgdy
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification
[article]
2020
arXiv
pre-print
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For example, under unsupervised setting, our method outperforms recent unsupervised domain adaptive methods, which leverage more labels for training. ...
Unsupervised domain adaptive person Re-IDentification (ReID) is challenging because of the large domain gap between source and target domains, as well as the lackage of labeled data on the target domain ...
Unsupervised Domain Adaptation (UDA) has been extensively studied in image classification. The aim of UDA is to align the domain distribution between source and target domains. ...
arXiv:2007.10854v1
fatcat:mhr2ropgsrdfzgyiarn4mntv2i
Multi-Scale Learning for Low-Resolution Person Re-Identification
2015
2015 IEEE International Conference on Computer Vision (ICCV)
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The key component of this framework is a heterogeneous class mean discrepancy (HCMD) criterion for cross-scale image domain alignment, which is optimised simultaneously with discriminant modelling across ...
To solve this LR person re-id problem, we propose a novel joint multi-scale learning framework, termed joint multi-scale discriminant component analysis (JUDEA). ...
The inferior results show that domain adaptation by DTRSVM is not optimal for solving our multi-scale based LR re-id problem. ...
doi:10.1109/iccv.2015.429
dblp:conf/iccv/LiZWXG15
fatcat:q2rc4yrwhfejbmcculwph6wnim
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