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» Patterns for decoupling data structures and algorithms
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PRL
2011
12 years 10 months ago
Structural matching of 2D electrophoresis gels using deformed graphs
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
BMCBI
2011
12 years 11 months ago
Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and STRUCTU
Background: The ever increasing sizes of population genetic datasets pose great challenges for population structure analysis. The Tracy-Widom (TW) statistical test is widely used ...
Tulaya Limpiti, Apichart Intarapanich, Anunchai As...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured entity identification and document categorization: two tasks with one joint model
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
EDBT
2010
ACM
202views Database» more  EDBT 2010»
14 years 2 months ago
Querying trajectories using flexible patterns
The wide adaptation of GPS and cellular technologies has created many applications that collect and maintain large repositories of data in the form of trajectories. Previous work ...
Marcos R. Vieira, Petko Bakalov, Vassilis J. Tsotr...
CIARP
2006
Springer
13 years 9 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...