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ECCV
2010
Springer
15 years 7 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
Christoph H. Lampert, Oliver Krömer
HICSS
2008
IEEE
215views Biometrics» more  HICSS 2008»
15 years 7 months ago
Harry Potter and the Meat-Filled Freezer: A Case Study of Spontaneous Usage of Visualization Tools
This paper is a report on early user activity in Many Eyes, a public web site where users may upload data, create visualizations, and carry on discussions. Since the site launched...
Fernanda B. Viégas, Martin Wattenberg, Matt...
ICMLA
2010
15 years 4 months ago
Using Randomised Vectors in Transcription Factor Binding Site Predictions
Finding the location of binding sites in DNA is a difficult problem. Although the location of some binding sites have been experimentally identified, other parts of the genome may ...
Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alis...
JMLR
2010
144views more  JMLR 2010»
15 years 1 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
BMCBI
2006
123views more  BMCBI 2006»
15 years 6 months ago
How to decide? Different methods of calculating gene expression from short oligonucleotide array data will give different result
Background: Short oligonucleotide arrays for transcript profiling have been available for several years. Generally, raw data from these arrays are analysed with the aid of the Mic...
Frank F. Millenaar, John Okyere, Sean T. May, Mart...