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GRC
2010
IEEE
13 years 6 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
BMCBI
2008
204views more  BMCBI 2008»
13 years 5 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
BMCBI
2006
120views more  BMCBI 2006»
13 years 5 months ago
Classification of protein quaternary structure by functional domain composition
Background: The number and the arrangement of subunits that form a protein are referred to as quaternary structure. Quaternary structure is an important protein attribute that is ...
Xiaojing Yu, Chuan Wang, Yixue Li
BC
1998
96views more  BC 1998»
13 years 5 months ago
Evidence of phase transitions in heart period dynamics
Complexity measures of non-linear dynamics are a useful tool for quantifying observed stretching, folding, scaling and mixing processes in the Takens-reconstructed state space of h...
Henrik Bettermann, Peter Van Leeuwen
BMVC
2010
13 years 3 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins