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» Some Results on Greedy Embeddings in Metric Spaces
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DMIN
2009
142views Data Mining» more  DMIN 2009»
14 years 7 months ago
Efficient Record Linkage using a Double Embedding Scheme
Record linkage is the problem of identifying similar records across different data sources. The similarity between two records is defined based on domain-specific similarity functi...
Noha Adly
CVIU
2011
14 years 29 days ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...
BMCBI
2006
173views more  BMCBI 2006»
14 years 9 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
RSP
1998
IEEE
188views Control Systems» more  RSP 1998»
15 years 1 months ago
Performance and Interface Buffer Size Driven Behavioral Partitioning for Embedded Systems
One of the major differences in partitioning for codesign is in the way the communication cost is evaluated. Generally the size of the edge cut-set is used. When communication bet...
T.-C. Lin, Sadiq M. Sait, Walling R. Cyre
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
14 years 10 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...