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» Spatial normalization of array-CGH data
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SOFSEM
1998
Springer
14 years 2 months ago
Some Results on the Modelling of Spatial Data
Abstract. Formal methods based on the mathematical theory of partially ordered sets (i.e., posets) have been used in the database field for the modelling of spatial data since many...
Luca Forlizzi, Enrico Nardelli
COMSIS
2010
13 years 7 months ago
3D point pattern matching based on spatial geometric flexibility
We propose a new method for matching two 3D point sets of identical cardinality with global similarity but local non-rigid deformations and distribution errors. This problem arises...
Xiaopeng Wei, Xiaoyong Fang, Qiang Zhang, Dongshen...
ICDM
2003
IEEE
170views Data Mining» more  ICDM 2003»
14 years 3 months ago
Algorithms for Spatial Outlier Detection
A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial ...
Chang-Tien Lu, Dechang Chen, Yufeng Kou
BMCBI
2006
97views more  BMCBI 2006»
13 years 9 months ago
Goulphar: rapid access and expertise for standard two-color microarray normalization methods
Background: Raw data normalization is a critical step in microarray data analysis because it directly affects data interpretation. Most of the normalization methods currently used...
Sophie Lemoine, Florence Combes, Nicolas Servant, ...
EUROCAST
2003
Springer
108views Hardware» more  EUROCAST 2003»
14 years 3 months ago
Fast Entropy-Based Nonrigid Registration
Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
Eduardo Suárez, Jose Aurelio Santana, Eduar...