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BMCBI
2011
13 years 1 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
ERCIMDL
2009
Springer
225views Education» more  ERCIMDL 2009»
14 years 4 months ago
Demonstration of User Interfaces for Querying in 3D Architectural Content in PROBADO3D
Abstract. The PROBADO project is a research effort to develop Digital Library support for non-textual documents. The main goal is to contribute to all parts of the Digital Library...
René Bernd, Ina Blümel, Harald Krottma...
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
14 years 10 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
ICCAD
2002
IEEE
124views Hardware» more  ICCAD 2002»
14 years 6 months ago
Symbolic pointer analysis
— One of the bottlenecks in the recent movement of hardware synthesis from behavioral C programs is the difficulty in reasoning about runtime pointer values at compile time. The...
Jianwen Zhu
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey