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NIPS
2008
13 years 8 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
ICAD
2004
13 years 8 months ago
Soundserver: Data Sonification On-Demand for Computational Instances
The rapid accumulation of large collections of data has created the need for efficient and intelligent schemes for knowledge extraction and results analysis. The resulting informa...
Jorge Cardoso, Jos Carvalho, Luís Teixeira,...
DAC
2005
ACM
14 years 8 months ago
Robust gate sizing by geometric programming
We present an efficient optimization scheme for gate sizing in the presence of process variations. Using a posynomial delay model, the delay constraints are modified to incorporat...
Jaskirat Singh, Vidyasagar Nookala, Zhi-Quan Luo, ...
DAC
2007
ACM
14 years 8 months ago
Modeling and Estimation of Full-Chip Leakage Current Considering Within-Die Correlation
We present an efficient technique for finding the mean and variance of the full-chip leakage of a candidate design, while considering logic-structures and both die-to-die and with...
Khaled R. Heloue, Navid Azizi, Farid N. Najm
WACV
2005
IEEE
14 years 28 days ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni