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ICML
2004
IEEE
16 years 4 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
CSB
2004
IEEE
173views Bioinformatics» more  CSB 2004»
15 years 7 months ago
Gene Ontology Friendly Biclustering of Expression Profiles
The soundness of clustering in the analysis of gene expression profiles and gene function prediction is based on the hypothesis that genes with similar expression profiles may imp...
Jinze Liu, Wei Wang 0010, Jiong Yang
148
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CIBB
2008
15 years 6 months ago
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
Alberto Bertoni, Giorgio Valentini
ICIP
2001
IEEE
16 years 5 months ago
Invariant representation in image processing
The paper discusses the role of invariance in image processing, specifically the desire to discriminate against unwanted variations in the scene while maintaining the power to tel...
Arnold W. M. Smeulders, Jan-Mark Geusebroek, Theo ...
192
Voted
BMCBI
2011
14 years 7 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde