Domain Adaptation via Transfer Component Analysis
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- Type
- article
- Published
- 2009-07-11
- Cited by
- 4,499
- References
- 55
- Access
- Open access
- OpenAlex
- https://openalex.org/W304676660
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:788838
Keywords
Reproducing kernel Hilbert space, Computer science, Subspace topology, Artificial intelligence, Kernel (algebra)
References
- Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation
- Interior-point polynomial algorithms in convex programming
- Finding stationary subspaces in multivariate time series.
- Bias learning, knowledge sharing
- Estimating Location Using Wi-Fi
- Co-clustering based classification for out-of-domain documents
- Learning a kernel matrix for nonlinear dimensionality reduction
- Inlier-Based Outlier Detection via Direct Density Ratio Estimation
- Text Classification from Labeled and Unlabeled Documents using EM
- A Least-squares Approach to Direct Importance Estimation
- Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
- Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
- Transfer Learning via Dimensionality Reduction
- An introduction to kernel-based learning algorithms
- Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
- Dimensionality reduction for density ratio estimation in high-dimensional spaces
- Frustratingly Easy Domain Adaptation
- Colored Maximum Variance Unfolding
- A Multitask Learning Model for Online Pattern Recognition
- Indoor Location System Based on Discriminant-Adaptive Neural Network in IEEE 802.11 Environments
Cited by
- Feature-based transfer learning with real-world applications
- Distribution Calibration in Riemannian Symmetric Space
- Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis
- Cross-Domain Object Recognition Via Input-Output Kernel Analysis
- Visual Recognition by Learning From Web Data via Weakly Supervised Domain Generalization
- DeepIsoFun: a deep domain adaptation approach to predict isoform functions
- A NOVEL IMAGE-SPECIFIC TRANSFER APPROACH FOR PROSTATE SEGMENTATION IN MR IMAGES
- Transfer Learning with Graph Co-Regularization
- Subspace Alignment For Domain Adaptation
- Learning from weakly representative data and applications in spectral image analysis
- Learning With An Insufficient Supply Of Data Via Knowledge Transfer And Sharing
- Instance Selection and Instance Weighting for Cross-Domain Sentiment Classification via PU Learning
- Deep Transfer Network: Unsupervised Domain Adaptation
- Domain Adaptive Neural Networks for Object Recognition
- Transfer Prototype-Based Fuzzy Clustering
- Towards Cross-Project Defect Prediction with Imbalanced Feature Sets
- Blind Domain Adaptation: An RKHS Approach
- Domaines et fouille d'opinion : une étude des marqueurs multi-polaires au niveau du texte. (Domain Adaptation for Opinion Mining : A Study of Multi-polarity Words)
- Transfer Feature Representation via Multiple Kernel Learning
- Cross-domain question classification in community question answering via kernel mapping
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