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» A Sparse Coding Based Similarity Measure
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JMM2
2006
83views more  JMM2 2006»
13 years 7 months ago
Bhattacharyya Coefficient in Correlation of Gray-Scale Objects
Bhattacharyya coefficient is a popular method that uses color histograms to correlate images. Bhattacharyya Coefficient is believed to be the absolute similarity measure for freque...
M. Sohail Khalid, M. Umer Ilyas, M. Saquib Sarfara...
ALMOB
2006
135views more  ALMOB 2006»
13 years 8 months ago
P-value based visualization of codon usage data
Two important and not yet solved problems in bacterial genome research are the identification of horizontally transferred genes and the prediction of gene expression levels. Both ...
Peter Meinicke, Thomas Brodag, Wolfgang Florian Fr...
IFIP12
2009
13 years 5 months ago
A Hybrid Approach for Improving Prediction Coverage of Collaborative Filtering
In this paper we present a hybrid filtering algorithm that attempts to deal with low prediction Coverage, a problem especially present in sparse datasets. We focus on Item HyCoV, a...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...
ICA
2007
Springer
14 years 2 months ago
Compressed Sensing and Source Separation
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
Thomas Blumensath, Mike E. Davies
CIKM
2005
Springer
14 years 1 months ago
Evaluation of a MCA-based approach to organize data cubes
On Line Analysis Processing (OLAP) is a technology basically created to provide users with tools in order to explore and navigate into data cubes. Unfortunately, in huge and spars...
Riadh Ben Messaoud, Omar Boussaid, Sabine Rabas&ea...