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166
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CIBCB
2008
IEEE
16 years 19 days 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
153
Voted
INFOCOM
2006
IEEE
16 years 5 days 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 8 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...
139
Voted
PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
15 years 10 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»
15 years 5 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