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» Detecting Significant Multidimensional Spatial Clusters
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CVPR
2007
IEEE
15 years 26 days ago
Kernel Sharing With Joint Boosting For Multi-Class Concept Detection
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui
GISCIENCE
2010
Springer
212views GIS» more  GISCIENCE 2010»
13 years 12 months ago
Qualitative Change to 3-Valued Regions
Regions which evolve over time are a significant aspect of many phenomena in geographic information science. Examples include areas in which a measured value (e.g. temperature, sal...
Matt Duckham, John G. Stell, Maria Vasardani, Mich...
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
14 years 2 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
BMCBI
2010
87views more  BMCBI 2010»
13 years 11 months ago
Epigenetic domains found in mouse embryonic stem cells via a hidden Markov model
Background: Epigenetics is an important layer of transcriptional control necessary for cell-type specific gene regulation. Recent studies have shown significant epigenetic pattern...
Jessica L. Larson, Guo-Cheng Yuan
BMCBI
2008
148views more  BMCBI 2008»
13 years 11 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan