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CVPR
2007
IEEE
14 years 2 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
DOLAP
2003
ACM
14 years 28 days ago
Hierarchical dwarfs for the rollup cube
The data cube operator exemplifies two of the most important aspects of OLAP queries: aggregation and dimension hierarchies. In earlier work we presented Dwarf, a highly compress...
Yannis Sismanis, Antonios Deligiannakis, Yannis Ko...
JCB
2007
198views more  JCB 2007»
13 years 7 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
ISBI
2008
IEEE
14 years 8 months ago
Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging
The cortical folding patterns are very different from one individual to another. Here we try to find folding patterns automatically using large-scale datasets by non-supervised cl...
Zhong Yi Sun, Denis Rivière, Edouard Duches...
BPM
2009
Springer
175views Business» more  BPM 2009»
14 years 2 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira