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» Clustering from Constraint Graphs
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WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
15 years 10 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...
SCOPES
2004
Springer
15 years 8 months ago
Compact Procedural Implementation in DSP Software Synthesis Through Recursive Graph Decomposition
Abstract. Synthesis of digital signal processing (DSP) software from dataflow-based formal models is an effective approach for tackling the complexity of modern DSP applications. I...
Ming-Yung Ko, Praveen K. Murthy, Shuvra S. Bhattac...
109
Voted
ICCAD
2006
IEEE
103views Hardware» more  ICCAD 2006»
16 years 12 days ago
A statistical framework for post-silicon tuning through body bias clustering
Adaptive body biasing (ABB) is a powerful technique that allows post-silicon tuning of individual manufactured dies such that each die optimally meets the delay and power constrai...
Sarvesh H. Kulkarni, Dennis Sylvester, David Blaau...
139
Voted
IPPS
2009
IEEE
15 years 10 months ago
Unit disk graph and physical interference model: Putting pieces together
Modeling communications in wireless networks is a challenging task since it asks for a simple mathematical object on which efficient algorithms can be designed, but that must also...
Emmanuelle Lebhar, Zvi Lotker
128
Voted
ACL
2011
14 years 7 months ago
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
Ivan Titov