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CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
15 years 4 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
ICML
2008
IEEE
16 years 7 months ago
Topologically-constrained latent variable models
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jo...
ICASSP
2011
IEEE
14 years 10 months ago
Increasing discriminative capability on MAP-based mapping function estimation for acoustic model adaptation
In this study, we propose increasing discriminative power on the maximum a posteriori (MAP)-based mapping function estimation for acoustic model adaptation. Based on the effective...
Yu Tsao, Ryosuke Isotani, Hisashi Kawai, Satoshi N...
MICCAI
2005
Springer
16 years 7 months ago
Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation
An approach to the deformable registration of three-dimensional brain tumor images to a normal brain atlas is presented. The approach involves the integration of three components:...
Ashraf Mohamed, Dinggang Shen, Christos Davatzikos
ICCAD
2008
IEEE
125views Hardware» more  ICCAD 2008»
16 years 3 months ago
A succinct memory model for automated design debugging
— In today’s complex SoC designs, verification and debugging are becoming ever more crucial and increasingly timeconsuming tasks. The prevalence of embedded memories adds to t...
Brian Keng, Hratch Mangassarian, Andreas G. Veneri...