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» A Framework for Pattern-Based Global Models
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SIAMIS
2010
378views more  SIAMIS 2010»
14 years 6 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
ICCAD
2000
IEEE
91views Hardware» more  ICCAD 2000»
15 years 4 months ago
A Timing-Constrained Algorithm for Simultaneous Global Routing of Multiple Nets
In this paper, we propose a new approach for VLSI interconnect global routing that can optimize both congestion and delay, which are often competing objectives. Our approach provi...
Jiang Hu, Sachin S. Sapatnekar
ACCV
2006
Springer
15 years 3 months ago
High Dynamic Range Global Mosaic
This paper presents a global approach for constructing high dynamic range mosaic from multiple images with large exposure differences. By relating image intensities to scene radian...
Dae Woong Kim, Ki-Sang Hong
INFOCOM
2006
IEEE
15 years 5 months ago
Delay and Capacity Trade-Offs in Mobile Ad Hoc Networks: A Global Perspective
— Since the original work of Grossglauser and Tse, which showed that the mobility can increase the capacity of an ad hoc network, there has been a lot of interest in characterizi...
Gaurav Sharma, Ravi Mazumdar, Ness B. Shroff
ICASSP
2009
IEEE
15 years 6 months ago
Trajectory training considering global variance for HMM-based speech synthesis
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Tomoki Toda, Steve Young