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SSDBM
2009
IEEE
119views Database» more  SSDBM 2009»
15 years 5 months ago
Identifying the Most Endangered Objects from Spatial Datasets
Abstract. Real-life spatial objects are usually described by their geographic locations (e.g., longitude and latitude), and multiple quality attributes. Conventionally, spatial dat...
Hua Lu, Man Lung Yiu
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
15 years 5 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
BMCBI
2008
126views more  BMCBI 2008»
14 years 10 months ago
Methods for evaluating gene expression from Affymetrix microarray datasets
Background: Affymetrix high density oligonucleotide expression arrays are widely used across all fields of biological research for measuring genome-wide gene expression. An import...
Ning Jiang, Lindsey J. Leach, Xiaohua Hu, Elena Po...
PAMI
2011
14 years 5 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
15 years 11 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher