On the public citation graph

Lie group manifold analysis: an unsupervised domain adaptation approach for image classification

https://doi.org/10.1007/s10489-021-02564-3

0 signed · 60 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4614-7116-5_16openalex-snapshot

Lie Groups, Lie Algebras, and Representations

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_16openalex-snapshot

Adapting Visual Category Models to New Domains

inferredcites →https://doi.org/10.1007/s10489-019-01610-5openalex-snapshot

Joint discriminative subspace and distribution adaptation for unsupervised domain adaptation

inferredcites →https://doi.org/10.1007/s10489-020-01853-7openalex-snapshot

Metric transfer learning via geometric knowledge embedding

inferredcites →https://doi.org/10.1007/s10489-020-02107-2openalex-snapshot

Learning domain invariant and specific representation for cross-domain person re-identification

inferredcites →https://doi.org/10.1007/s10994-009-5152-4openalex-snapshot

A theory of learning from different domains

inferredcites →https://doi.org/10.1007/s11263-014-0703-yopenalex-snapshot

Weakly-Supervised Cross-Domain Dictionary Learning for Visual Recognition

inferredcites →https://doi.org/10.1007/s11263-014-0717-5openalex-snapshot

Harnessing Lab Knowledge for Real-World Action Recognition

inferredcites →https://doi.org/10.1016/j.ipm.2018.11.002openalex-snapshot

Cognitive-inspired domain adaptation of sentiment lexicons

inferredcites →https://doi.org/10.1016/j.knosys.2019.105254openalex-snapshot

Multi-source domain adaptation with joint learning for cross-domain sentiment classification

inferredcites →https://doi.org/10.1023/a:1018628609742openalex-snapshot

Least Squares Support Vector Machine Classifiers

inferredcites →https://doi.org/10.1049/iet-ipr.2018.5871openalex-snapshot

Transfer metric learning for unsupervised domain adaptation

inferredcites →https://doi.org/10.1063/1.2915398openalex-snapshot

Lie Algebras in Particle Physics

inferredcites →https://doi.org/10.1063/1.2915801openalex-snapshot

Six of the new MacArthur Chairs go to physicists

inferredcites →https://doi.org/10.1109/72.788640openalex-snapshot

An overview of statistical learning theory

inferredcites →https://doi.org/10.1109/cvpr.2008.4587521openalex-snapshot

Learning on lie groups for invariant detection and tracking

inferredcites →https://doi.org/10.1109/cvpr.2012.6247911openalex-snapshot

Geodesic flow kernel for unsupervised domain adaptation

inferredcites →https://doi.org/10.1109/cvpr.2014.183openalex-snapshot

Transfer Joint Matching for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2014.318openalex-snapshot

Domain Adaptation on the Statistical Manifold

inferredcites →https://doi.org/10.1109/cvpr.2017.547openalex-snapshot

Joint Geometrical and Statistical Alignment for Visual Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr.2019.01053openalex-snapshot

Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/iccv.2011.6126344openalex-snapshot

Domain adaptation for object recognition: An unsupervised approach

inferredcites →https://doi.org/10.1109/iccv.2013.208openalex-snapshot

Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias

inferredcites →https://doi.org/10.1109/iccv.2013.274openalex-snapshot

Transfer Feature Learning with Joint Distribution Adaptation

inferredcites →https://doi.org/10.1109/iccv.2013.368openalex-snapshot

Unsupervised Visual Domain Adaptation Using Subspace Alignment

inferredcites →https://doi.org/10.1109/iccvw.2019.00135openalex-snapshot

Generatively Inferential Co-Training for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/icdm.2012.102openalex-snapshot

Low-Rank Transfer Subspace Learning

inferredcites →https://doi.org/10.1109/icdm.2017.150openalex-snapshot

Balanced Distribution Adaptation for Transfer Learning

inferredcites →https://doi.org/10.1109/percom.2018.8444585openalex-snapshot

Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation

inferredcites →https://doi.org/10.1109/tcyb.2018.2820174openalex-snapshot

Transfer Independently Together: A Generalized Framework for Domain Adaptation

inferredcites →https://doi.org/10.1109/tip.2018.2828326openalex-snapshot

Deep Active Learning with Contaminated Tags for Image Aesthetics Assessment

inferredcites →https://doi.org/10.1109/tip.2018.2839528openalex-snapshot

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

inferredcites →https://doi.org/10.1109/tip.2019.2924174openalex-snapshot

Locality Preserving Joint Transfer for Domain Adaptation

inferredcites →https://doi.org/10.1109/tkde.2009.126openalex-snapshot

Bregman Divergence-Based Regularization for Transfer Subspace Learning

inferredcites →https://doi.org/10.1109/tkde.2009.191openalex-snapshot

A Survey on Transfer Learning

inferredcites →https://doi.org/10.1109/tkde.2012.75openalex-snapshot

Knowledge Transfer with Low-Quality Data: A Feature Extraction Issue

inferredcites →https://doi.org/10.1109/tkde.2013.111openalex-snapshot

Adaptation Regularization: A General Framework for Transfer Learning

inferredcites →https://doi.org/10.1109/tnn.2010.2091281openalex-snapshot

Domain Adaptation via Transfer Component Analysis

inferredcites →https://doi.org/10.1109/tpami.2016.2599532openalex-snapshot

Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot

THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS

inferredcites →https://doi.org/10.1145/1645953.1646121openalex-snapshot

Large margin transductive transfer learning

inferredcites →https://doi.org/10.1145/3240508.3240512openalex-snapshot

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

inferredcites →https://doi.org/10.1186/s40537-016-0043-6openalex-snapshot

A survey of transfer learning

inferredcites →https://doi.org/10.1201/9780429499210openalex-snapshot

Lie Algebras in Particle Physics: From Isospin to Unified Theories

inferredcites →https://doi.org/10.1515/9783110499506openalex-snapshot

Lie Group Machine Learning

inferredcites →https://doi.org/10.1609/aaai.v32i1.11792openalex-snapshot

Unsupervised Domain Adaptation With Distribution Matching Machines

inferredcites →https://doi.org/10.18653/v1/n18-1112openalex-snapshot

Pivot Based Language Modeling for Improved Neural Domain Adaptation

inferredcites →https://doi.org/10.3390/s20185141openalex-snapshot

Energy Efficient Pupil Tracking Based on Rule Distillation of Cascade Regression Forest

inferredcites →https://doi.org/10.48550/arxiv.1310.1531openalex-snapshot

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

inferredcites →https://doi.org/10.5244/c.24.3openalex-snapshot

Manifold Alignment via Corresponding Projections

inferredcites →https://doi.org/10.7551/mitpress/7503.003.0022openalex-snapshot

Analysis of Representations for Domain Adaptation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4870746openalex-extracted

inferred← citeshttps://doi.org/10.1007/s10489-021-03036-4openalex-snapshot

Lie group continual meta learning algorithm

inferred← citeshttps://doi.org/10.1007/s10489-022-03638-6openalex-snapshot

Hierarchical Triple-Level Alignment for Multiple Source and Target Domain Adaptation

inferred← citeshttps://doi.org/10.1007/s40747-023-01283-1openalex-snapshot

Zeroth- and first-order difference discrimination for unsupervised domain adaptation

inferred← citeshttps://doi.org/10.1016/j.ijleo.2023.170718openalex-snapshot

Multiple camera styles learning for unsupervised person re-identification

inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129728openalex-snapshot

A Lie group Laplacian Support Vector Machine for semi-supervised learning

inferred← citeshttps://doi.org/10.1016/j.phycom.2024.102334openalex-snapshot

Improved matrix model of sequence grid partition based on vector space sampling

inferred← citeshttps://doi.org/10.1109/access.2024.3439870openalex-snapshot

Pairwise Similarity for Domain Adaptation

inferred← citeshttps://doi.org/10.3233/jifs-235912openalex-snapshot

A coarse-to-fine unsupervised domain adaptation method based on metric learning

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.