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» Embedding Heterogeneous Data Using Statistical Models
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CASES
2006
ACM
13 years 11 months ago
Efficient architectures through application clustering and architectural heterogeneity
Customizing architectures for particular applications is a promising approach to yield highly energy-efficient designs for embedded systems. This work explores the benefits of arc...
Lukasz Strozek, David Brooks
VLDB
1998
ACM
102views Database» more  VLDB 1998»
13 years 11 months ago
Using Schema Matching to Simplify Heterogeneous Data Translation
A broad spectrum of data is available on the Web in distinct heterogeneous sources, and stored under different formats. As the number of systems that utilize this heterogeneous da...
Tova Milo, Sagit Zohar
ICCCN
2008
IEEE
14 years 2 months ago
Multi-Modal Target Tracking Using Heterogeneous Sensor Networks
Abstract— The paper describes a target tracking system running on a Heterogeneous Sensor Network (HSN) and presents results gathered from a realistic deployment. The system fuses...
Manish Kushwaha, Isaac Amundson, Péter V&ou...
IDA
2003
Springer
14 years 25 days ago
Distributed Regression for Heterogeneous Data Sets
Existing meta-learning based distributed data mining approaches do not explicitly address context heterogeneity across individual sites. This limitation constrains their applicatio...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...
AMW
2009
13 years 8 months ago
Bi-Level Mapping: Combining Schema and Data Level Heterogeneity in Peer Data Sharing Systems
Abstract. Peer data sharing systems use either schema-level or data-level mappings to resolve schema as well as data heterogeneity among data sources (peers). Schema-level mappings...
Md. Anisur Rahman, Mehedi Masud, Iluju Kiringa, Ab...