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CVPR
2007
IEEE
16 years 8 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
ICCD
2004
IEEE
128views Hardware» more  ICCD 2004»
16 years 3 months ago
Static Transition Probability Analysis Under Uncertainty
Deterministic gate delay models have been widely used to find the transition probabilities at the nodes of a circuit for calculating the power dissipation. However, with progress...
Siddharth Garg, Siddharth Tata, Ravishankar Arunac...
ICTAC
2005
Springer
16 years 1 days ago
Stochastic Analysis of Graph Transformation Systems: A Case Study in P2P Networks
In distributed and mobile systems with volatile bandwidth and fragile connectivity, non-functional aspects like performance and reliability become more and more important. To forma...
Reiko Heckel
IPMI
2005
Springer
16 years 1 days ago
Diffeomorphic Nonlinear Transformations: A Local Parametric Approach for Image Registration
Many types of transformations are used to model deformations in medical image registration. While some focus on modeling local changes, some on continuity and invertibility, there ...
Ramkrishnan Narayanan, Jeffrey A. Fessler, Hyunjin...
TOG
2012
181views Communications» more  TOG 2012»
13 years 9 months ago
Guided exploration of physically valid shapes for furniture design
Geometric modeling and the physical validity of shapes are traditionally considered independently. This makes creating aesthetically pleasing yet physically valid models challengi...
Nobuyuki Umetani, Takeo Igarashi, Niloy J. Mitra