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DAC
2002
ACM
16 years 5 months ago
A factorization-based framework for passivity-preserving model reduction of RLC systems
We present a framework for passivity-preserving model reduction for RLC systems that includes, as a special case, the well-known PRIMA model reduction algorithm. This framework pr...
Q. Su, Venkataramanan Balakrishnan, Cheng-Kok Koh
127
Voted
DAC
2005
ACM
16 years 5 months ago
Full-chip analysis of leakage power under process variations, including spatial correlations
In this paper, we present a method for analyzing the leakage current, and hence the leakage power, of a circuit under process parameter variations that can include spatial correla...
Hongliang Chang, Sachin S. Sapatnekar
MICCAI
2005
Springer
16 years 5 months ago
Hydrometra Simulation for VR-Based Hysteroscopy Training
During hysteroscopy a hydrometra is maintained, i.e. the uterus is distended with liquid media to access and visualize the uterine cavity. The pressure and flow induced by the liqu...
Raimundo Sierra, János Zátonyi, Mich...
ICML
2009
IEEE
16 years 5 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
ICML
2007
IEEE
16 years 5 months ago
Supervised feature selection via dependence estimation
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
Le Song, Alex J. Smola, Arthur Gretton, Karsten M....