Reference health
Domain adaptation for object recognition: An unsupervised approach
30/30 checkable references clean · checked 2026-07-26
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
13 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 30 checked references that resolve
resolves10.1016/S0378-3758(00)00115-4
Improving predictive inference under covariate shift by weighting the log-likelihood function
resolves10.1109/CVPR.2008.4587733
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
resolves10.1109/TPAMI.2009.57
Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
resolves10.1109/CVPR.2011.5995564
Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching
resolves10.1177/0278364910369190
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
resolves10.1109/34.598228
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
resolves10.1023/B:ACAP.0000013855.14971.91
Riemannian Geometry of Grassmann Manifolds with a View on Algorithmic Computation
The 13 references without a DOI — listed, not checked
no DOI — not checkedAdapting visual category models to new domains
no DOI — not checkedCo-regularization based semisupervised domain adaptation
no DOI — not checkedManifold alignment without correspondence
no DOI — not checkedTransferring naive Bayes classifiers for text classification
no DOI — not checkedBridged refinement for transfer learning
no DOI — not checked40
no DOI — not checked29
no DOI — not checkedDomain adaptation with multiple sources
no DOI — not checkedExploiting weakly-labeled web images to improve object classification: A domain adaptation approach
no DOI — not checkedImpossibility theorems for domain adaptation
no DOI — not checkedAnalysis of representations for domain adaptation
no DOI — not checkedBiographies, bollywood, boomboxes and blenders: Domain adaptation for sentiment classification
no DOI — not checkedLearning bounds for domain adaptation
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