Dimension reduction by local principal component analysis
Neural Computation
A Bernoulli Relational Model for Nonlinear Embedding
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
IEEE Transactions on Visualization and Computer Graphics
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust locally linear embedding
Pattern Recognition
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
The Journal of Machine Learning Research
Audio-visual human recognition using semi-supervised spectral learning and hidden Markov models
Journal of Visual Languages and Computing
A convergent solution to tensor subspace learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Graph embedding with constraints
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Feature Extraction Using a Complete Kernel Extension of Supervised Graph Embedding
Neural Processing Letters
Graph drawing by subspace optimization
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
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Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is closely tied to how accurately data values are predicted at runtime. Caching ...