1746 search results - page 19 / 350 » Hierarchical Unsupervised Learning |
KDD
2005
ACM
14 years 9 months ago
2005
ACM
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Scalable image retrieval systems usually involve hierarchical quantization of local image descriptors, which produces a visual vocabulary for inverted indexing of images. Although ...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...