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» Nonlinear principal component analysis of noisy data
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CVPR
2006
IEEE
15 years 11 months ago
Learning Distance Metrics with Contextual Constraints for Image Retrieval
Relevant Component Analysis (RCA) has been proposed for learning distance metrics with contextual constraints for image retrieval. However, RCA has two important disadvantages. On...
Steven C. H. Hoi, Wei Liu, Michael R. Lyu, Wei-Yin...
CANDC
2005
ACM
14 years 9 months ago
Comments on selected fundamental aspects of microarray analysis
Microarrays are becoming a ubiquitous tool of research in life sciences. However, the working principles of microarray-based methodologies are often misunderstood or apparently ig...
Alessandra Riva, Anne-Sophie Carpentier, Bruno Tor...
IEAAIE
2009
Springer
14 years 7 months ago
Constructing Decisional DNA on Renewable Energy: A Case Study
Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different fields. Knowledge...
Cesar Sanín, Edward Szczerbicki
BMCBI
2007
106views more  BMCBI 2007»
14 years 9 months ago
Improved classification accuracy in 1- and 2-dimensional NMR metabolomics data using the variance stabilising generalised logari
Background: Classifying nuclear magnetic resonance (NMR) spectra is a crucial step in many metabolomics experiments. Since several multivariate classification techniques depend up...
Helen M. Parsons, Christian Ludwig, Ulrich L. G&uu...
ICML
2000
IEEE
15 years 10 months ago
Discovering Homogeneous Regions in Spatial Data through Competition
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...
Slobodan Vucetic, Zoran Obradovic