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CIBCB
2008
IEEE
15 years 6 months ago
Temporal and structural analysis of biological networks in combination with microarray data
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
INFOCOM
2006
IEEE
15 years 5 months ago
On the Potential of Structure-Free Data Aggregation in Sensor Networks
— Data aggregation protocols can reduce the cost of communication, thereby extending the lifetime of sensor networks. Prior work on data aggregation protocols has focused on tree...
Kai-Wei Fan, Sha Liu, Prasun Sinha
ECCV
2002
Springer
16 years 1 months ago
Multimodal Data Representations with Parameterized Local Structures
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Vis...
PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
15 years 4 months ago
Learning from Highly Structured Data by Decomposition
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
René MacKinney-Romero, Christophe G. Giraud...
DKE
1998
88views more  DKE 1998»
14 years 11 months ago
Temporal Grid File: A File Structure for Interval Data
Disk I/O is a major bottleneck for query processing in database applications. This bottleneck is especially a problem for temporal databases because of their large size. Reduction...
Chiang Lee, Te-Ming Tseng