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ISNN
2005
Springer
16 years 1 min ago
A Learning Framework for Blind Source Separation Using Generalized Eigenvalues
This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
Hailin Liu, Yiu-ming Cheung
WEBI
2005
Springer
15 years 12 months ago
The WebCAT Framework - Automatic Generation of Meta-Data for Web Resources
Automated methods for resource annotation are a clear necessity, as the success of the Semantic Web depends on the availability of Web resources with meta-data conforming to known...
Bruno Martins, Mário J. Silva
ICCAD
1994
IEEE
101views Hardware» more  ICCAD 1994»
15 years 10 months ago
A general framework for vertex orderings, with applications to netlist clustering
We present a general framework for the construction of vertex orderings for netlist clustering. Our WINDOW algorithm constructs an ordering by iteratively adding the vertex with h...
Charles J. Alpert, Andrew B. Kahng
CAISE
2006
Springer
15 years 10 months ago
Metadata-Based Matching Framework for Ontologies
Current algorithms cannot be used optimally in (semi)automatic ontology matching tasks as envisioned by the Semantic Web community, mainly because of the inherent dependency betwee...
Malgorzata Mochol
UAI
1996
15 years 7 months ago
Bucket elimination: A unifying framework for probabilistic inference
Probabilistic inference algorithms for belief updating, nding the most probable explanation, the maximum a posteriori hypothesis, and the maximum expected utility are reformulated...
Rina Dechter